From 12e790c51654515e2d5649898e8d0bc2d282ff15 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E4=B9=8B=E6=B1=9F=E5=AE=9E=E9=AA=8C=E5=AE=A4?= Date: Mon, 26 Oct 2020 15:20:15 +0800 Subject: [PATCH] update data process --- dubhe_data_process/LICENSE | 202 +++++++++++++ dubhe_data_process/README.md | 53 ++-- dubhe_data_process/algorithm-annotation.py | 58 ++++ dubhe_data_process/algorithm-imagenet.py | 65 ++++ dubhe_data_process/algorithm-imgprocess.py | 54 ++++ dubhe_data_process/algorithm-ofrecord.py | 77 +++++ dubhe_data_process/algorithm-track.py | 60 ++++ dubhe_data_process/algorithm-videosample.py | 62 ++++ dubhe_data_process/annotation.py | 45 +++ dubhe_data_process/common/RedisUtil.py | 42 +++ .../{oneflow => common}/__init__.py | 0 .../{oneflow => common}/augment_utils/ACE.py | 0 .../augment_utils/__init__.py | 0 .../augment_utils/dehaze.py | 0 .../augment_utils/hist_equalize.py | 0 .../{oneflow/data => common}/coco.names | 0 dubhe_data_process/common/config.py | 69 +++++ .../{oneflow => common}/config/url.json | 0 dubhe_data_process/common/data/coco.names | 80 +++++ .../{oneflow => common}/log_config.py | 0 .../{oneflow => common}/of_cnn_resnet.py | 6 +- .../common/predict_with_print_box.py | 277 ++++++++++++++++++ .../{oneflow => common}/yolo_net.py | 0 dubhe_data_process/data/coco.names | 80 +++++ dubhe_data_process/imagenet.py | 93 ++++++ dubhe_data_process/imgprocess.py | 189 ++++++++++++ .../of_model => luascript}/__init__.py | 0 .../luascript/delaytaskscript.py | 26 ++ .../luascript/failedtaskscript.py | 27 ++ .../luascript/finishtaskscript.py | 27 ++ dubhe_data_process/luascript/gettaskscript.py | 30 ++ .../luascript/starttaskscript.py | 29 ++ .../snapshot_done => of_model/__init__.py} | 0 .../{oneflow => }/of_model/config.py | 0 .../of_model/imagenet1000_clsidx_to_labels.py | 0 .../of_model/of_develop_2_of_python.py | 0 .../{oneflow => }/of_model/resnet_model.py | 0 .../Resnet-conv1-weight/out | Bin .../Resnet-conv1_bn-beta/out | Bin 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We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + + Copyright [yyyy] [name of copyright owner] + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. diff --git a/dubhe_data_process/README.md b/dubhe_data_process/README.md index 1027b6b..12b03c5 100644 --- a/dubhe_data_process/README.md +++ b/dubhe_data_process/README.md @@ -1,30 +1,33 @@ -# 数据处理模块 -该模块提供平台数据处理中自动标注、多目标跟踪、数据增强以及OFRecord转换服务 +# 之江天枢-算法端 -## 依赖 +**之江天枢一站式人工智能开源平台**（简称：**之江天枢**），包括海量数据处理、交互式模型构建（包含Notebook和模型可视化）、AI模型高效训练。多维度产品形态满足从开发者到大型企业的不同需求，将提升人工智能技术的研发效率、扩大算法模型的应用范围，进一步构建人工智能生态“朋友圈”。 -- opencv-python -- numpy -- web.py -- oneflow -- Pillow -- scipy +## 算法部署 + +部署请参考 http://tianshu.org.cn/?/course 中文档**部署数据处理算法** + +## 代码结构： -## 服务启动 -- 自动标注 -```bash -python oneflow/run_label_server.py -p xxxx -m xxx -python oneflow/imagenet_server.py -p xxxx -m xxx -``` -- 数据增强 -```bash -python oneflow/img_process_server.py -p xxxx -m xxx -``` -- 目标跟踪 -```bash -python oneflow/track_srver.py -p xxxx -m xxx ``` -- OFRecord转换 -```bash -python oneflow/ofrecord_server.py -p xxxx -m xxx +├── LICENSE +├── README.md +├── algorithm-annotation.py #目标检测和图像分类算法 +├── algorithm-imagenet.py #图像分类中imagenet标签处理算法 +├── algorithm-imgprocess.py #数据增强算法 +├── algorithm-ofrecord.py #ofrecord数据转换算法 +├── algorithm-track.py #跟踪算法 +├── algorithm-videosample.py #视频采样算法 +├── annotation.py +├── common #基础工具 +├── data +├── imagenet.py +├── imgprocess.py +├── luascript +├── of_model #oneflow模型文件 +├── ofrecord.py +├── predict_with_print_box.py +├── taskexecutor.py +├── track.py +├── track_only +└── videosample.py ``` \ No newline at end of file diff --git a/dubhe_data_process/algorithm-annotation.py b/dubhe_data_process/algorithm-annotation.py new file mode 100644 index 0000000..3df56f2 --- /dev/null +++ b/dubhe_data_process/algorithm-annotation.py @@ -0,0 +1,58 @@ +""" +/** +* Copyright 2020 Zhejiang Lab. All Rights Reserved. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +* ============================================================= +*/ +""" +# coding:utf-8 +import threading + +import taskexecutor +import time +import common.RedisUtil as f +import common.config as config +import annotation as annotation +import luascript.starttaskscript as start_script +import logging + +logging.basicConfig(format='%(asctime)s - %(pathname)s[line:%(lineno)d] - %(levelname)s: %(message)s', + level=logging.DEBUG) + +if __name__ == '__main__': + """Automatic annotation algorithm entry.""" + jsonData = config.loadJsonData(config.configPath) + redisClient = f.getRedisConnection(jsonData["ip"], jsonData["port"], jsonData["database"], jsonData["password"]) + logging.info('init redis client %s', redisClient) + t = threading.Thread(target=taskexecutor.delayKeyThread, args=(redisClient,)) + t.setDaemon(True) + t.start() + annotation._init() + while 1: + try: + if config.loadJsonData(config.sign) == 0: + logging.info('not to execute new task') + time.sleep(1) + else: + logging.info('get one task') + element = redisClient.eval(start_script.startTaskLua, 1, config.queue, + config.annotationStartQueue, int(time.time())) + if len(element) > 0: + taskexecutor.annotationExecutor(redisClient, element[0]); + else: + logging.info('task queue is empty.') + time.sleep(1) + except Exception as e: + logging.error('except:', e) + time.sleep(1) diff --git a/dubhe_data_process/algorithm-imagenet.py b/dubhe_data_process/algorithm-imagenet.py new file mode 100644 index 0000000..9c6d703 --- /dev/null +++ b/dubhe_data_process/algorithm-imagenet.py @@ -0,0 +1,65 @@ +""" +/** +* Copyright 2020 Zhejiang Lab. All Rights Reserved. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +* ============================================================= +*/ +""" +# coding:utf-8 + +import json +import threading +import time +import imagenet as imagenet +import common.RedisUtil as f +import common.config as config +import luascript.starttaskscript as start_script +import logging + +logging.basicConfig(format='%(asctime)s - %(pathname)s[line:%(lineno)d] - %(levelname)s: %(message)s', + level=logging.DEBUG) + +if __name__ == '__main__': + """Imagenet algorithm entry.""" + jsonData = config.loadJsonData(config.configPath) + redisClient = f.getRedisConnection(jsonData["ip"], jsonData["port"], jsonData["database"], jsonData["password"]) + logging.info('init redis client %s', redisClient) + t = threading.Thread(target=imagenet.delayKeyThread, args=(redisClient,)) + t.setDaemon(True) + t.start() + imagenet._init() + while 1: + try: + if config.loadJsonData(config.sign) == 0: + logging.info('not to execute new task') + time.sleep(1) + else: + logging.info('get one task') + element = redisClient.eval(start_script.startTaskLua, 1, config.imagenetTaskQueue, + config.imagenetStartQueue, int(time.time())) + if len(element) > 0: + key = element[0].decode() + jsonStr = f.getByKey(redisClient, key.replace('"', '')); + result = imagenet.process(jsonStr, element[0]) + logging.info("result:", json.dumps(result)) + + logging.info('save result to redis') + f.pushToQueue(redisClient, config.imagenetFinishQueue, json.dumps(result)) + redisClient.zrem(config.imagenetStartQueue, element[0]) + else: + logging.info('task queue is empty.') + time.sleep(2) + except Exception as e: + logging.error('except:', e) + time.sleep(1) diff --git a/dubhe_data_process/algorithm-imgprocess.py b/dubhe_data_process/algorithm-imgprocess.py new file mode 100644 index 0000000..15412bc --- /dev/null +++ b/dubhe_data_process/algorithm-imgprocess.py @@ -0,0 +1,54 @@ +""" +/** +* Copyright 2020 Zhejiang Lab. All Rights Reserved. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +* ============================================================= +*/ +""" +import threading +import time + +import common.RedisUtil as f +import luascript.starttaskscript as start_script +import common.config as config +import logging +import imgprocess + +logging.basicConfig(format='%(asctime)s - %(pathname)s[line:%(lineno)d] - %(levelname)s: %(message)s', + level=logging.DEBUG) + +if __name__ == '__main__': + """Enhancement algorithm entry.""" + jsonData = config.loadJsonData(config.configPath) + redisClient = f.getRedisConnection(jsonData["ip"], jsonData["port"], jsonData["database"], jsonData["password"]) + logging.info('init redis client %s', redisClient) + t = threading.Thread(target=imgprocess.delayKeyThread, args=(redisClient,)) + t.setDaemon(True) + t.start() + while 1: + try: + if config.loadJsonData(config.sign) == 0: + logging.info('not to execute new task') + time.sleep(5) + else: + enhanceTaskId = redisClient.eval(start_script.startTaskLua, 1, config.imgProcessTaskQueue, + config.imgProcessStartQueue, int(time.time())) + if len(enhanceTaskId) > 0: + imgprocess.start_enhance_task(enhanceTaskId, redisClient) + else: + logging.info('task queue is empty.') + time.sleep(5) + except Exception as e: + logging.error('except:', e) + time.sleep(1) diff --git a/dubhe_data_process/algorithm-ofrecord.py b/dubhe_data_process/algorithm-ofrecord.py new file mode 100644 index 0000000..cc857a4 --- /dev/null +++ b/dubhe_data_process/algorithm-ofrecord.py @@ -0,0 +1,77 @@ +""" +/** +* Copyright 2020 Zhejiang Lab. All Rights Reserved. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +* ============================================================= +*/ +""" +# coding:utf-8 + +import os +import json +import threading +import time +import common.RedisUtil as f +import common.config as config +import luascript.starttaskscript as start_script +import logging +import traceback +import ofrecord +logging.basicConfig(format='%(asctime)s - %(pathname)s[line:%(lineno)d] - %(levelname)s: %(message)s',level=logging.DEBUG) + +basePath = '/nfs/' +descPath = 'ofrecord/train' + +if __name__ == '__main__': + """Ofrecord algorithm entry.""" + jsonData = config.loadJsonData(config.configPath) + redisClient = f.getRedisConnection(jsonData["ip"], jsonData["port"], jsonData["database"], jsonData["password"]) + logging.info('init redis client %s', redisClient) + t = threading.Thread(target=ofrecord.delayKeyThread, args=(redisClient,)) + t.setDaemon(True) + t.start() + while 1: + try: + if config.loadJsonData(config.sign) == 0: + logging.info('not to execute new task') + time.sleep(1) + else: + element = redisClient.eval(start_script.startTaskLua, 1, config.ofrecordTaskQueue, + config.ofrecordStartQueue, int(time.time())) + if len(element) > 0: + key = element[0].decode() + detail = f.getByKey(redisClient, key.replace('"', '')) + jsonStr = json.loads(detail.decode()) + label_map = {} + index = 0 + for item in jsonStr["datasetLabels"].keys(): + if index >= 0 and item != '@type': + label_map[item] = jsonStr["datasetLabels"][item] + index += 1 + ofrecord.execute(os.path.join(basePath, jsonStr["datasetPath"]), + os.path.join(basePath, jsonStr["datasetPath"], descPath), + label_map, + jsonStr["files"], + jsonStr["partNum"], + element[0]) + logging.info('save result to redis') + f.pushToQueue(redisClient, config.ofrecordFinishQueue, key) + redisClient.zrem(config.ofrecordStartQueue, element[0]) + else: + logging.info('task queue is empty.') + time.sleep(2) + except Exception as e: + logging.error('except:', e) + redisClient.zrem(config.ofrecordStartQueue, element[0]) + time.sleep(1) diff --git a/dubhe_data_process/algorithm-track.py b/dubhe_data_process/algorithm-track.py new file mode 100644 index 0000000..15fc245 --- /dev/null +++ b/dubhe_data_process/algorithm-track.py @@ -0,0 +1,60 @@ +""" +/** +* Copyright 2020 Zhejiang Lab. All Rights Reserved. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +* ============================================================= +*/ +""" +# coding:utf-8 +import threading +import time +import common.RedisUtil as f +import common.config as config +import luascript.starttaskscript as start_script +import logging +import track + +logging.basicConfig(format='%(asctime)s - %(pathname)s[line:%(lineno)d] - %(levelname)s: %(message)s', + level=logging.DEBUG) + +if __name__ == '__main__': + """Track algorithm entry.""" + jsonData = config.loadJsonData(config.configPath) + redisClient = f.getRedisConnection(jsonData["ip"], jsonData["port"], jsonData["database"], jsonData["password"]) + logging.info('init redis client %s', redisClient) + t = threading.Thread(target=track.delayKeyThread, args=(redisClient,)) + t.setDaemon(True) + t.start() + while 1: + try: + if config.loadJsonData(config.sign) == 0: + logging.info('not to execute new task') + time.sleep(1) + else: + logging.info('get one task') + element = redisClient.eval(start_script.startTaskLua, 1, config.trackTaskQueue, + config.trackStartQueue, int(time.time())) + if len(element) > 0: + key = element[0].decode() + jsonStr = f.getByKey(redisClient, key.replace('"', '')); + if track.trackProcess(jsonStr, element[0]): + f.pushToQueue(redisClient, config.trackFinishQueue, key) + redisClient.zrem(config.trackStartQueue, element[0]) + logging.info('success') + else: + logging.info('task queue is empty.') + time.sleep(1) + except Exception as e: + logging.error('except:', e) + time.sleep(1) diff --git a/dubhe_data_process/algorithm-videosample.py b/dubhe_data_process/algorithm-videosample.py new file mode 100644 index 0000000..117e2a7 --- /dev/null +++ b/dubhe_data_process/algorithm-videosample.py @@ -0,0 +1,62 @@ +""" +/** +* Copyright 2020 Zhejiang Lab. All Rights Reserved. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +* ============================================================= +*/ +""" +import json +import threading +from datetime import datetime +import time + +import common.RedisUtil as f +import luascript.starttaskscript as start_script +import common.config as config +import logging +import videosample + +logging.basicConfig(format='%(asctime)s - %(pathname)s[line:%(lineno)d] - %(levelname)s: %(message)s', + level=logging.DEBUG) + +if __name__ == '__main__': + """VideoSample algorithm entry.""" + jsonData = config.loadJsonData(config.configPath) + redisClient = f.getRedisConnection(jsonData["ip"], jsonData["port"], jsonData["database"], jsonData["password"]) + logging.info('init redis client %s', redisClient) + t = threading.Thread(target=videosample.delayKeyThread, args=(redisClient,)) + t.setDaemon(True) + t.start() + while 1: + try: + if config.loadJsonData(config.sign) == 0: + logging.info('not to execute new task') + time.sleep(5) + else: + logging.info("read redis:" + datetime.now().strftime("B%Y-%m-%d %H:%M:%S")) + sampleTask = redisClient.eval(start_script.startTaskLua, 1, config.videoPendingQueue, + config.videoStartQueue, int(time.time())) + logging.info(int(time.time())) + if len(sampleTask) > 0: + datasetId = json.loads(sampleTask[0])['datasetIdKey'] + taskParameters = json.loads(redisClient.get("videoSample:" + str(datasetId))) + path = taskParameters['path'] + frameList = taskParameters['frames'] + videosample.sampleProcess(datasetId, path, frameList, redisClient) + else: + logging.info('task queue is empty.') + time.sleep(5) + except Exception as e: + logging.error('except:', e) + time.sleep(1) diff --git a/dubhe_data_process/annotation.py b/dubhe_data_process/annotation.py new file mode 100644 index 0000000..bfd6621 --- /dev/null +++ b/dubhe_data_process/annotation.py @@ -0,0 +1,45 @@ +""" +/** +* Copyright 2020 Zhejiang Lab. All Rights Reserved. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +* ============================================================= +*/ +""" +# coding:utf-8 +import time +import sys +sys.path.append(r"./common") +import predict_with_print_box as yolo_demo +from common.log_config import setup_log + + +label_log = setup_log('dev', 'label.log') + + +def _init(): + print('init yolo_obj') + global yolo_obj + yolo_obj = yolo_demo.YoloInference(label_log) + + +def _annotation(type_, image_path_list, id_list, label_list, coco_flag=0): + """Perform automatic annotation task.""" + image_num = len(image_path_list) + if image_num < 16: + for i in range(16 - image_num): + image_path_list.append(image_path_list[0]) + id_list.append(id_list[0]) + image_num = len(image_path_list) + annotations = yolo_obj.yolo_inference(type_, id_list, image_path_list, label_list, coco_flag) + return annotations[0:image_num] diff --git a/dubhe_data_process/common/RedisUtil.py b/dubhe_data_process/common/RedisUtil.py new file mode 100644 index 0000000..4cbe15d --- /dev/null +++ b/dubhe_data_process/common/RedisUtil.py @@ -0,0 +1,42 @@ +""" +/** +* Copyright 2020 Zhejiang Lab. All Rights Reserved. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +* ============================================================= +*/ +""" +# coding:utf-8 +import redis +import sys + + +def getRedisConnection(host, port, db, password): + return redis.Redis(host=host, port=port, db=db, password=password) + + +def getOneMinScoreElement(f, queue): + return f.zrangebyscore(queue, 0, sys.maxsize, 0, 1) + + +def deleteElement(f, queue, element): + f.zrem(queue, element) + +# get bu key +def getByKey(f, key): + print(key) + return f.get(key); + + +def pushToQueue(f, key, value): + f.rpush(key, value) diff --git a/dubhe_data_process/oneflow/__init__.py b/dubhe_data_process/common/__init__.py similarity index 100% rename from dubhe_data_process/oneflow/__init__.py rename to dubhe_data_process/common/__init__.py diff --git a/dubhe_data_process/oneflow/augment_utils/ACE.py b/dubhe_data_process/common/augment_utils/ACE.py similarity index 100% rename from dubhe_data_process/oneflow/augment_utils/ACE.py rename to dubhe_data_process/common/augment_utils/ACE.py diff --git a/dubhe_data_process/oneflow/augment_utils/__init__.py b/dubhe_data_process/common/augment_utils/__init__.py similarity index 100% rename from dubhe_data_process/oneflow/augment_utils/__init__.py rename to dubhe_data_process/common/augment_utils/__init__.py diff --git a/dubhe_data_process/oneflow/augment_utils/dehaze.py b/dubhe_data_process/common/augment_utils/dehaze.py similarity index 100% rename from dubhe_data_process/oneflow/augment_utils/dehaze.py rename to dubhe_data_process/common/augment_utils/dehaze.py diff --git a/dubhe_data_process/oneflow/augment_utils/hist_equalize.py b/dubhe_data_process/common/augment_utils/hist_equalize.py similarity index 100% rename from dubhe_data_process/oneflow/augment_utils/hist_equalize.py rename to dubhe_data_process/common/augment_utils/hist_equalize.py diff --git a/dubhe_data_process/oneflow/data/coco.names b/dubhe_data_process/common/coco.names similarity index 100% rename from dubhe_data_process/oneflow/data/coco.names rename to dubhe_data_process/common/coco.names diff --git a/dubhe_data_process/common/config.py b/dubhe_data_process/common/config.py new file mode 100644 index 0000000..2100e6b --- /dev/null +++ b/dubhe_data_process/common/config.py @@ -0,0 +1,69 @@ +""" +/** +* Copyright 2020 Zhejiang Lab. All Rights Reserved. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +* ============================================================= +*/ +""" +# coding:utf-8 + +import json + +host = '' +port = 6379 +db = 0 +password = '' + +# annotation +queue = 'annotation_task_queue' +annotationStartQueue = 'annotation_processing_queue' +annotationFinishQueue = 'annotation_finished_queue' + +# imagenet +imagenetTaskQueue = 'imagenet_task_queue' +imagenetStartQueue = 'imagenet_processing_queue' +imagenetFinishQueue = 'imagenet_finished_queue' + +# ofrecord +ofrecordTaskQueue = 'ofrecord_task_queue' +ofrecordStartQueue = 'ofrecord_processing_queue' +ofrecordFinishQueue = 'ofrecord_finished_queue' + +# track +trackTaskQueue = 'track_task_queue' +trackStartQueue = 'track_processing_queue' +trackFinishQueue = 'track_finished_queue' + +# videosample +videoPendingQueue = "videoSample_unprocessed" +videoStartQueue = "videoSample_processing" +videoFinishQueue = "videoSample_finished" +videoFailedQueue = "videoSample_failed" + +# imgprocess +imgProcessTaskQueue = 'imgProcess_unprocessed' +imgProcessFinishQueue = 'imgProcess_finished' +imgProcessStartQueue = "imgProcess_processing" +imgProcessFailedQueue = "imgProcess_failed" + +threadCount = 5 + +configPath = "/root/algorithm/config.json" +sign = "/root/algorithm/sign" + + +def loadJsonData(path): + with open(path, 'r', encoding='utf8') as fp: + jsonData = json.load(fp) + return jsonData diff --git a/dubhe_data_process/oneflow/config/url.json b/dubhe_data_process/common/config/url.json similarity index 100% rename from dubhe_data_process/oneflow/config/url.json rename to dubhe_data_process/common/config/url.json diff --git a/dubhe_data_process/common/data/coco.names b/dubhe_data_process/common/data/coco.names new file mode 100644 index 0000000..ca76c80 --- /dev/null +++ b/dubhe_data_process/common/data/coco.names @@ -0,0 +1,80 @@ +person +bicycle +car +motorbike +aeroplane +bus +train +truck +boat +traffic light +fire hydrant +stop sign +parking meter +bench +bird +cat +dog +horse +sheep +cow +elephant +bear +zebra +giraffe +backpack +umbrella +handbag +tie +suitcase +frisbee +skis +snowboard +sports ball +kite +baseball bat +baseball glove +skateboard +surfboard +tennis racket +bottle +wine glass +cup +fork +knife +spoon +bowl +banana +apple +sandwich +orange +broccoli +carrot +hot dog +pizza +donut +cake +chair +sofa +pottedplant +bed +diningtable +toilet +tvmonitor +laptop +mouse +remote +keyboard +cell phone +microwave +oven +toaster +sink +refrigerator +book +clock +vase +scissors +teddy bear +hair drier +toothbrush diff --git a/dubhe_data_process/oneflow/log_config.py b/dubhe_data_process/common/log_config.py similarity index 100% rename from dubhe_data_process/oneflow/log_config.py rename to dubhe_data_process/common/log_config.py diff --git a/dubhe_data_process/oneflow/of_cnn_resnet.py b/dubhe_data_process/common/of_cnn_resnet.py similarity index 93% rename from dubhe_data_process/oneflow/of_cnn_resnet.py rename to dubhe_data_process/common/of_cnn_resnet.py index 8e03a92..74b0a2d 100644 --- a/dubhe_data_process/oneflow/of_cnn_resnet.py +++ b/dubhe_data_process/common/of_cnn_resnet.py @@ -16,17 +16,21 @@ * ============================================================= */ """ +# -*- coding:utf-8 -*- from __future__ import absolute_import from __future__ import division from __future__ import print_function +import sys +import codecs import os import numpy as np from PIL import Image import oneflow as flow from of_model.resnet_model import resnet50 +sys.stdout = codecs.getwriter("utf-8")(sys.stdout.detach()) def init_resnet(): """Initialize ResNet with pretrained weights""" @@ -60,7 +64,7 @@ def InferenceNet(images=flow.FixedTensorDef( def resnet_inf(image_path): """The whole procedure of inference of ResNet and return the category_id and the corresponding score""" - image = load_image(image_path) + image = load_image(image_path.encode('utf-8')) predictions = InferenceNet(image).get() clsidx = predictions.ndarray().argmax() + 161 return predictions.ndarray().max(), clsidx diff --git a/dubhe_data_process/common/predict_with_print_box.py b/dubhe_data_process/common/predict_with_print_box.py new file mode 100755 index 0000000..4698eec --- /dev/null +++ b/dubhe_data_process/common/predict_with_print_box.py @@ -0,0 +1,277 @@ +""" +/** +* Copyright 2020 Zhejiang Lab. All Rights Reserved. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +* ============================================================= +*/ +""" +import json +import time + +import cv2 +import numpy as np +import oneflow_yolov3 +from yolo_net import YoloPredictNet + +import oneflow as flow + + +'''Init oneflow config''' +model_load_dir = "of_model/yolov3_model_python/" +label_to_name_file = "coco.names" +use_tensorrt = 0 +gpu_num_per_node = 1 +batch_size = 16 +image_height = 608 +image_width = 608 +flow.config.load_library(oneflow_yolov3.lib_path()) +func_config = flow.FunctionConfig() +func_config.default_distribute_strategy(flow.distribute.consistent_strategy()) +func_config.default_data_type(flow.float) +if use_tensorrt != 0: + func_config.use_tensorrt(True) +label_2_name = [] +with open(label_to_name_file, 'r') as f: + label_2_name = f.readlines() +nms = True +print("nms:", nms) +input_blob_def_dict = { + "images": flow.FixedTensorDef((batch_size, 3, image_height, image_width), dtype=flow.float), + "origin_image_info": flow.FixedTensorDef((batch_size, 2), dtype=flow.int32), +} + + +def xywh_2_x1y1x2y2(x, y, w, h, origin_image): + """The format of box transform""" + x1 = (x - w / 2.) * origin_image[1] + x2 = (x + w / 2.) * origin_image[1] + y1 = (y - h / 2.) * origin_image[0] + y2 = (y + h / 2.) * origin_image[0] + return x1, y1, x2, y2 + + +def batch_boxes(positions, probs, origin_image_info): + """The images postprocessing""" + batch_size = positions.shape[0] + batch_list = [] + if nms == True: + for k in range(batch_size): + box_list = [] + for i in range(1, 81): + for j in range(positions.shape[2]): + if positions[k][i][j][2] != 0 and positions[k][i][j][3] != 0 and probs[k][i][j] != 0: + x1, y1, x2, y2 = xywh_2_x1y1x2y2(positions[k][i][j][0], positions[k][i][j][1], + positions[k][i][j][2], positions[k][i][j][3], + origin_image_info[k]) + bbox = [i - 1, x1, y1, x2, y2, probs[k][i][j]] + box_list.append(bbox) + batch_list.append(np.asarray(box_list)) + else: + for k in range(batch_size): + box_list = [] + for j in range(positions.shape[1]): + for i in range(1, 81): + if positions[k][j][2] != 0 and positions[k][j][3] != 0 and probs[k][j][i] != 0: + x1, y1, x2, y2 = xywh_2_x1y1x2y2(positions[k][j][0], positions[k][j][1], positions[k][j][2], + positions[k][j][3], origin_image_info[k]) + bbox = [i - 1, x1, y1, x2, y2, probs[k][j][i]] + box_list.append(bbox) + batch_list.append(np.asarray(box_list)) + return batch_list + + +@flow.function(func_config) +def yolo_user_op_eval_job(images=input_blob_def_dict["images"], + origin_image_info=input_blob_def_dict["origin_image_info"]): + """The model inference""" + yolo_pos_result, yolo_prob_result = YoloPredictNet(images, origin_image_info, trainable=False) + yolo_pos_result = flow.identity(yolo_pos_result, name="yolo_pos_result_end") + yolo_prob_result = flow.identity(yolo_prob_result, name="yolo_prob_result_end") + return yolo_pos_result, yolo_prob_result, origin_image_info + + +def yolo_show(image_path_list, batch_list): + """Debug the result of Yolov3""" + font = cv2.FONT_HERSHEY_SIMPLEX + for img_path, batch in zip(image_path_list, batch_list): + result_list = batch.tolist() + img = cv2.imread(img_path) + for result in result_list: + cls = int(result[0]) + bbox = result[1:-1] + score = result[-1] + print('img_file:', img_path) + print('cls:', cls) + print('bbox:', bbox) + c = ((int(bbox[0]) + int(bbox[2])) / 2, (int(bbox[1] + int(bbox[3])) / 2)) + cv2.rectangle(img, (int(bbox[0]), int(bbox[1])), (int(bbox[2]), int(bbox[3])), (0, 255, 255), 1) + cv2.putText(img, str(cls), (int(c[0]), int(c[1])), font, 1, (0, 0, 255), 1) + result_name = img_path.split('/')[-1] + cv2.imwrite("data/results/" + result_name, img) + + +def resize_image(img, origin_h, origin_w, image_height, image_width): + """The resize of image preprocessing""" + w = image_width + h = image_height + resized = np.zeros((3, image_height, image_width), dtype=np.float32) + part = np.zeros((3, origin_h, image_width), dtype=np.float32) + w_scale = (float)(origin_w - 1) / (w - 1) + h_scale = (float)(origin_h - 1) / (h - 1) + + for c in range(w): + if c == w - 1 or origin_w == 1: + val = img[:, :, origin_w - 1] + else: + sx = c * w_scale + ix = int(sx) + dx = sx - ix + val = (1 - dx) * img[:, :, ix] + dx * img[:, :, ix + 1] + part[:, :, c] = val + for r in range(h): + sy = r * h_scale + iy = int(sy) + dy = sy - iy + val = (1 - dy) * part[:, iy, :] + resized[:, r, :] = val + if r == h - 1 or origin_h == 1: + continue + resized[:, r, :] = resized[:, r, :] + dy * part[:, iy + 1, :] + return resized + + +def batch_image_preprocess_v2(img_path_list, image_height, image_width): + """The images preprocessing""" + result_list = [] + origin_info_list = [] + for img_path in img_path_list: + img = cv2.imread(img_path, cv2.IMREAD_COLOR) + img = img.transpose(2, 0, 1).astype(np.float32) # hwc->chw + img = img / 255 # /255 + img[[0, 1, 2], :, :] = img[[2, 1, 0], :, :] # bgr2rgb + + w = image_width + h = image_height + origin_h = img.shape[1] + origin_w = img.shape[2] + new_w = origin_w + new_h = origin_h + if w / origin_w < h / origin_h: + new_w = w + new_h = origin_h * w // origin_w + else: + new_h = h + new_w = origin_w * h // origin_h + resize_img = resize_image(img, origin_h, origin_w, new_h, new_w) + + dw = (w - new_w) // 2 + dh = (h - new_h) // 2 + + padh_before = int(dh) + padh_after = int(h - new_h - padh_before) + padw_before = int(dw) + padw_after = int(w - new_w - padw_before) + result = np.pad(resize_img, pad_width=((0, 0), (padh_before, padh_after), (padw_before, padw_after)), + mode='constant', constant_values=0.5) + origin_image_info = [origin_h, origin_w] + result_list.append(result) + origin_info_list.append(origin_image_info) + results = np.asarray(result_list).astype(np.float32) + origin_image_infos = np.asarray(origin_info_list).astype(np.int32) + return results, origin_image_infos + + +def coco_format(type_, id_list, file_list, result_list, label_list, coco_flag=0): + """Transform the annotations to coco format""" + annotations = [] + for i, result in enumerate(result_list): + temp = {} + id_name = id_list[i] + file_path = file_list[i] + temp['id'] = id_name + temp['annotation'] = [] + im = cv2.imread(file_path) + height, width, _ = im.shape + if result.shape[0] == 0: + temp['annotation'] = json.dumps(temp['annotation']) + annotations.append(temp) + continue + else: + for j in range(result.shape[0]): + cls_id = int(result[j][0]) + 1 + coco_flag + x1 = result[j][1] + x2 = result[j][3] + y1 = result[j][2] + y2 = result[j][4] + score = result[j][5] + width = max(0, x2 - x1) + height = max(0, y2 - y1) + if cls_id in label_list: + temp['annotation'].append({ + 'area': width * height, + 'bbox': [x1, y1, width, height], + 'category_id': cls_id, + 'iscrowd': 0, + 'segmentation': [[x1, y1, x2, y1, x2, y2, x1, y2]], + 'score': score + }) + if type_ == 2 and len(temp['annotation']) > 0: + temp['annotation'] = [temp['annotation'][0]] + temp['annotation'][0].pop('area') + temp['annotation'][0].pop('bbox') + temp['annotation'][0].pop('iscrowd') + temp['annotation'][0].pop('segmentation') + temp['annotation'] = json.dumps(temp['annotation']) + annotations.append(temp) + return annotations + + +class YoloInference(object): + """Yolov3 detection inference""" + + def __init__(self, label_log): + self.label_log = label_log + flow.config.gpu_device_num(gpu_num_per_node) + flow.env.ctrl_port(9789) + + check_point = flow.train.CheckPoint() + if not model_load_dir: + check_point.init() + else: + check_point.load(model_load_dir) + print("Load check_point success") + self.label_log.info("Load check_point success") + + def yolo_inference(self, type_, id_list, image_path_list, label_list, coco_flag=0): + annotations = [] + try: + if len(image_path_list) == 16: + t0 = time.time() + images, origin_image_info = batch_image_preprocess_v2(image_path_list, image_height, image_width) + yolo_pos, yolo_prob, origin_image_info = yolo_user_op_eval_job(images, origin_image_info).get() + batch_list = batch_boxes(yolo_pos, yolo_prob, origin_image_info) + annotations = coco_format(type_, id_list, image_path_list, batch_list, label_list, coco_flag) + t1 = time.time() + print('t1-t0:', t1 - t0) + except: + print("Forward Error") + self.label_log.error("Forward Error") + for i, image_path in enumerate(image_path_list): + temp = {} + id_name = id_list[i] + temp['id'] = id_name + temp['annotation'] = [] + temp['annotation'] = json.dumps(temp['annotation']) + annotations.append(temp) + return annotations diff --git a/dubhe_data_process/oneflow/yolo_net.py b/dubhe_data_process/common/yolo_net.py similarity index 100% rename from dubhe_data_process/oneflow/yolo_net.py rename to dubhe_data_process/common/yolo_net.py diff --git a/dubhe_data_process/data/coco.names b/dubhe_data_process/data/coco.names new file mode 100644 index 0000000..ca76c80 --- /dev/null +++ b/dubhe_data_process/data/coco.names @@ -0,0 +1,80 @@ +person +bicycle +car +motorbike +aeroplane +bus +train +truck +boat +traffic light +fire hydrant +stop sign +parking meter +bench +bird +cat +dog +horse +sheep +cow +elephant +bear +zebra +giraffe +backpack +umbrella +handbag +tie +suitcase +frisbee +skis +snowboard +sports ball +kite +baseball bat +baseball glove +skateboard +surfboard +tennis racket +bottle +wine glass +cup +fork +knife +spoon +bowl +banana +apple +sandwich +orange +broccoli +carrot +hot dog +pizza +donut +cake +chair +sofa +pottedplant +bed +diningtable +toilet +tvmonitor +laptop +mouse +remote +keyboard +cell phone +microwave +oven +toaster +sink +refrigerator +book +clock +vase +scissors +teddy bear +hair drier +toothbrush diff --git a/dubhe_data_process/imagenet.py b/dubhe_data_process/imagenet.py new file mode 100644 index 0000000..4bfd692 --- /dev/null +++ b/dubhe_data_process/imagenet.py @@ -0,0 +1,93 @@ +""" +/** +* Copyright 2020 Zhejiang Lab. All Rights Reserved. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +* ============================================================= +*/ +""" +#!/usr/bin/env python3 +# -*- coding: utf-8 -*- +import sched +import sys + +sys.path.append(r"./common") +import logging +import time +import json +import common.of_cnn_resnet as of_cnn_resnet +import numpy as np +import luascript.delaytaskscript as delay_script +import common.config as config +from datetime import datetime + +schedule = sched.scheduler(time.time, time.sleep) + +base_path = "/nfs/" +delayId = "" + + +def _init(): + of_cnn_resnet.init_resnet() + logging.info('env init finished') + + +def process(task_dict, key): + """Imagenet task method. + Args: + task_dict: imagenet task details. + key: imagenet task key. + """ + global delayId + delayId = "\"" + eval(str(key, encoding="utf-8")) + "\"" + task_dict = json.loads(task_dict) + id_list = [] + image_path_list = [] + for file in task_dict["files"]: + id_list.append(file["id"]) + image_path_list.append(base_path + file["url"]) + label_list = task_dict["labels"] + image_num = len(image_path_list) + annotations = [] + for inds in range(len(image_path_list)): + temp = {} + temp['id'] = id_list[inds] + score, ca_id = of_cnn_resnet.resnet_inf(image_path_list[inds]) + temp['annotation'] = [{'category_id': int(ca_id), 'score': np.float(score)}] + temp['annotation'] = json.dumps(temp['annotation']) + annotations.append(temp) + result = {"annotations": annotations, "task": key.decode()} + return result + + +def delaySchduled(inc, redisClient): + """Delay task method. + Args: + inc: scheduled task time. + redisClient: redis client. + """ + try: + print("delay:" + datetime.now().strftime("B%Y-%m-%d %H:%M:%S")) + redisClient.eval(delay_script.delayTaskLua, 1, config.imagenetStartQueue, delayId, int(time.time())) + schedule.enter(inc, 0, delaySchduled, (inc, redisClient)) + except Exception as e: + print("delay error" + e) + + +def delayKeyThread(redisClient): + """Delay task thread. + Args: + redisClient: redis client. + """ + schedule.enter(0, 0, delaySchduled, (5, redisClient)) + schedule.run() diff --git a/dubhe_data_process/imgprocess.py b/dubhe_data_process/imgprocess.py new file mode 100644 index 0000000..65d256b --- /dev/null +++ b/dubhe_data_process/imgprocess.py @@ -0,0 +1,189 @@ +""" +/** +* Copyright 2020 Zhejiang Lab. All Rights Reserved. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +* ============================================================= +*/ +""" +# !/usr/bin/env python3 +# -*- coding: utf-8 -*- +from datetime import datetime +import sched +import os +import cv2 +import numpy as np +import logging +import time +import json +import argparse +import sys +import codecs +import shutil + +import luascript.delaytaskscript as delay_script +import common.config as config + +from common.augment_utils.ACE import ACE_color +from common.augment_utils.dehaze import deHaze, addHaze +from common.augment_utils.hist_equalize import adaptive_hist_equalize +from common.log_config import setup_log + +schedule = sched.scheduler(time.time, time.sleep) + +delayId = "" +finish_key = {} +re_task_id = {} +sys.stdout = codecs.getwriter("utf-8")(sys.stdout.detach()) + +# task url suffix +img_pro_url = 'api/data/datasets/' + +# arguments +parser = argparse.ArgumentParser(description="config for image augmentation server") +parser.add_argument("-m", "--mode", type=str, default="test", required=False) +args = parser.parse_args() + +# url concat(ip + port + suffix) +url_json = './common/config/url.json' +with open(url_json) as f: + url_dict = json.loads(f.read()) +img_pro_url = url_dict[args.mode] + img_pro_url + +# creat task quene +base_path = "/nfs/" + +# create log path and file +des_folder = os.path.join('./log', args.mode) +if not os.path.exists(des_folder): + os.makedirs(des_folder) + +logging = setup_log(args.mode, 'enhance-' + args.mode + '.log') +enhanceTaskId = "" + + +def start_enhance_task(enhanceTaskId, redisClient): + """Enhance task method. + Args: + enhanceTaskId: enhance task id. + redisClient: redis client. + """ + global delayId + detailKey = 'imgProcess:' + eval(str(enhanceTaskId[0], encoding="utf-8")) + delayId = "\"" + eval(str(enhanceTaskId[0], encoding="utf-8")) + "\"" + print(detailKey) + taskParameters = json.loads(redisClient.get(detailKey).decode()) + dataset_id = taskParameters['id'] + img_save_path = taskParameters['enhanceFilePath'] + ann_save_path = taskParameters["enhanceAnnotationPath"] + file_list = taskParameters['fileDtos'] + nums_, img_path_list, ann_path_list = img_ann_list_gen(file_list) + process_type = taskParameters['type'] + re_task_id = eval(str(enhanceTaskId[0], encoding="utf-8")) + img_process_config = [dataset_id, img_save_path, + ann_save_path, img_path_list, + ann_path_list, process_type, re_task_id] + image_enhance_process(img_process_config, redisClient) + logging.info(str(nums_) + ' images for augment') + + +def img_ann_list_gen(file_list): + """Analyze the json request and convert to list""" + nums_ = len(file_list) + img_list = [] + ann_list = [] + for i in range(nums_): + img_list.append(file_list[i]['filePath']) + ann_list.append(file_list[i]['annotationPath']) + return nums_, img_list, ann_list + + +def image_enhance_process(img_task, redisClient): + """The implementation of image augmentation thread""" + global img_pro_url + global finish_key + global re_task_id + logging.info('img_process server start'.center(66, '-')) + logging.info(img_pro_url) + try: + dataset_id = img_task[0] + img_save_path = img_task[1] + ann_save_path = img_task[2] + img_list = img_task[3] + ann_list = img_task[4] + method = img_task[5] + re_task_id = img_task[6] + suffix = '_enchanced_' + re_task_id + logging.info("dataset_id " + str(dataset_id)) + + finish_key = {"processKey": re_task_id} + finish_data = {"id": re_task_id, + "suffix": suffix} + for j in range(len(ann_list)): + img_path = img_list[j] + ann_path = ann_list[j] + img_process(suffix, img_path, ann_path, + img_save_path, ann_save_path, method) + + redisClient.lpush(config.imgProcessFinishQueue, json.dumps(finish_key, separators=(',', ':'))) + redisClient.set("imgProcess:finished:" + re_task_id, json.dumps(finish_data)) + redisClient.zrem(config.imgProcessStartQueue, "\"" + re_task_id + "\"") + logging.info('suffix:' + suffix) + logging.info("End img_process of dataset:" + str(dataset_id)) + + except Exception as e: + redisClient.lpush(config.imgProcessFailedQueue, json.dumps(finish_key, separators=(',', ':'))) + redisClient.zrem(config.imgProcessStartQueue, "\"" + re_task_id + "\"") + logging.info(img_pro_url) + logging.error("Error imgProcess") + logging.error(e) + time.sleep(0.01) + + +def img_process(suffix, img_path, ann_path, img_save_path, ann_save_path, method_ind): + """Process images and save in specified path""" + inds2method = {1: deHaze, 2: addHaze, 3: ACE_color, 4: adaptive_hist_equalize} + method = inds2method[method_ind] + img_raw = cv2.imdecode(np.fromfile(img_path.encode('utf-8'), dtype=np.uint8), 1) + img_suffix = os.path.splitext(img_path)[-1] + ann_name = ann_path.replace(ann_save_path, '') + if method_ind <= 3: + processed_img = method(img_raw / 255.0) * 255 + else: + processed_img = method(img_raw) + cv2.imwrite(img_save_path + ann_name + suffix + img_suffix, + processed_img.astype(np.uint8)) + shutil.copyfile(ann_path.encode('utf-8'), (ann_path + suffix).encode('utf-8')) + + +def delaySchduled(inc, redisClient): + """Delay task method. + Args: + inc: scheduled task time. + redisClient: redis client. + """ + try: + logging.info("delay:" + datetime.now().strftime("B%Y-%m-%d %H:%M:%S") + ":" + delayId) + redisClient.eval(delay_script.delayTaskLua, 1, config.imgProcessStartQueue, delayId, int(time.time())) + schedule.enter(inc, 0, delaySchduled, (inc, redisClient)) + except Exception as e: + print("delay error" + e) + + +def delayKeyThread(redisClient): + """Delay task thread. + Args: + redisClient: redis client. + """ + schedule.enter(0, 0, delaySchduled, (5, redisClient)) + schedule.run() diff --git a/dubhe_data_process/oneflow/of_model/__init__.py b/dubhe_data_process/luascript/__init__.py similarity index 100% rename from dubhe_data_process/oneflow/of_model/__init__.py rename to dubhe_data_process/luascript/__init__.py diff --git a/dubhe_data_process/luascript/delaytaskscript.py b/dubhe_data_process/luascript/delaytaskscript.py new file mode 100644 index 0000000..a58e3af --- /dev/null +++ b/dubhe_data_process/luascript/delaytaskscript.py @@ -0,0 +1,26 @@ +""" +/** +* Copyright 2020 Zhejiang Lab. All Rights Reserved. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +* ============================================================= +*/ +""" +# coding:utf-8 + +delayTaskLua = """ +local element = redis.call('zscore', KEYS[1],ARGV[1]) +if element then +redis.call('zadd',KEYS[1],ARGV[2],ARGV[1]) +end +""" \ No newline at end of file diff --git a/dubhe_data_process/luascript/failedtaskscript.py b/dubhe_data_process/luascript/failedtaskscript.py new file mode 100644 index 0000000..4acf934 --- /dev/null +++ b/dubhe_data_process/luascript/failedtaskscript.py @@ -0,0 +1,27 @@ +""" +/** +* Copyright 2020 Zhejiang Lab. All Rights Reserved. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +* ============================================================= +*/ +""" +# coding:utf-8 + +failedTaskLua = """ +redis.call('zrem',KEYS[1],ARGV[1]) +redis.call('lpush',KEYS[2],ARGV[2]) +redis.call('del',KEYS[3]) +redis.call('del',KEYS[4]) +return +""" \ No newline at end of file diff --git a/dubhe_data_process/luascript/finishtaskscript.py b/dubhe_data_process/luascript/finishtaskscript.py new file mode 100644 index 0000000..e1d0ede --- /dev/null +++ b/dubhe_data_process/luascript/finishtaskscript.py @@ -0,0 +1,27 @@ +""" +/** +* Copyright 2020 Zhejiang Lab. All Rights Reserved. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +* ============================================================= +*/ +""" +# coding:utf-8 + +finishTaskLua = """ +local queues,values=KEYS,ARGV +redis.call('zrem', queues[1], values[1]) +redis.call('lpush',queues[2],values[2]) +redis.call('del',KEYS[3]) +return +""" \ No newline at end of file diff --git a/dubhe_data_process/luascript/gettaskscript.py b/dubhe_data_process/luascript/gettaskscript.py new file mode 100644 index 0000000..d1b4660 --- /dev/null +++ b/dubhe_data_process/luascript/gettaskscript.py @@ -0,0 +1,30 @@ +""" +/** +* Copyright 2020 Zhejiang Lab. All Rights Reserved. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +* ============================================================= +*/ +""" +# coding:utf-8 + +getTaskLua = """ +local queue = KEYS[1] +local element = redis.call('zrangebyscore', queue, 0, 9999999999999, 'limit', 0, 1) +print(element[0]) +if table.getn(element) > 0 then + print('delete this element') + redis.call('zrem', queue, element[1]) +end +return element +""" diff --git a/dubhe_data_process/luascript/starttaskscript.py b/dubhe_data_process/luascript/starttaskscript.py new file mode 100644 index 0000000..805b0ce --- /dev/null +++ b/dubhe_data_process/luascript/starttaskscript.py @@ -0,0 +1,29 @@ +""" +/** +* Copyright 2020 Zhejiang Lab. All Rights Reserved. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +* ============================================================= +*/ +""" +# coding:utf-8 + +startTaskLua = """ +local queue,value,time=KEYS[1],ARGV[1],ARGV[2] +local element = redis.call('zrangebyscore', queue, 0, 9999999999999, 'limit', 0, 1) +if table.getn(element)>0 then +redis.call('zrem', queue, element[1]) +redis.call('zadd',value,time,element[1]) +end +return element +""" \ No newline at end of file diff --git a/dubhe_data_process/oneflow/of_model/resnet_v15_of_best_model_val_top1_773/snapshot_done b/dubhe_data_process/of_model/__init__.py similarity index 100% rename from dubhe_data_process/oneflow/of_model/resnet_v15_of_best_model_val_top1_773/snapshot_done rename to dubhe_data_process/of_model/__init__.py diff --git a/dubhe_data_process/oneflow/of_model/config.py b/dubhe_data_process/of_model/config.py similarity index 100% rename from dubhe_data_process/oneflow/of_model/config.py rename to dubhe_data_process/of_model/config.py diff --git a/dubhe_data_process/oneflow/of_model/imagenet1000_clsidx_to_labels.py b/dubhe_data_process/of_model/imagenet1000_clsidx_to_labels.py similarity index 100% rename from dubhe_data_process/oneflow/of_model/imagenet1000_clsidx_to_labels.py rename to dubhe_data_process/of_model/imagenet1000_clsidx_to_labels.py diff --git a/dubhe_data_process/oneflow/of_model/of_develop_2_of_python.py b/dubhe_data_process/of_model/of_develop_2_of_python.py similarity index 100% rename from dubhe_data_process/oneflow/of_model/of_develop_2_of_python.py rename to dubhe_data_process/of_model/of_develop_2_of_python.py diff --git a/dubhe_data_process/oneflow/of_model/resnet_model.py b/dubhe_data_process/of_model/resnet_model.py similarity index 100% rename from dubhe_data_process/oneflow/of_model/resnet_model.py rename to dubhe_data_process/of_model/resnet_model.py diff --git a/dubhe_data_process/oneflow/of_model/resnet_v15_of_best_model_val_top1_773/Resnet-conv1-weight/out b/dubhe_data_process/of_model/resnet_v15_of_best_model_val_top1_773/Resnet-conv1-weight/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/resnet_v15_of_best_model_val_top1_773/Resnet-conv1-weight/out rename to dubhe_data_process/of_model/resnet_v15_of_best_model_val_top1_773/Resnet-conv1-weight/out diff --git a/dubhe_data_process/oneflow/of_model/resnet_v15_of_best_model_val_top1_773/Resnet-conv1_bn-beta/out b/dubhe_data_process/of_model/resnet_v15_of_best_model_val_top1_773/Resnet-conv1_bn-beta/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/resnet_v15_of_best_model_val_top1_773/Resnet-conv1_bn-beta/out rename to dubhe_data_process/of_model/resnet_v15_of_best_model_val_top1_773/Resnet-conv1_bn-beta/out diff --git a/dubhe_data_process/oneflow/of_model/resnet_v15_of_best_model_val_top1_773/Resnet-conv1_bn-gamma/out b/dubhe_data_process/of_model/resnet_v15_of_best_model_val_top1_773/Resnet-conv1_bn-gamma/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/resnet_v15_of_best_model_val_top1_773/Resnet-conv1_bn-gamma/out rename to dubhe_data_process/of_model/resnet_v15_of_best_model_val_top1_773/Resnet-conv1_bn-gamma/out diff --git a/dubhe_data_process/oneflow/of_model/resnet_v15_of_best_model_val_top1_773/Resnet-conv1_bn-moving_mean/out b/dubhe_data_process/of_model/resnet_v15_of_best_model_val_top1_773/Resnet-conv1_bn-moving_mean/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/resnet_v15_of_best_model_val_top1_773/Resnet-conv1_bn-moving_mean/out rename to dubhe_data_process/of_model/resnet_v15_of_best_model_val_top1_773/Resnet-conv1_bn-moving_mean/out diff --git a/dubhe_data_process/oneflow/of_model/resnet_v15_of_best_model_val_top1_773/Resnet-conv1_bn-moving_variance/out b/dubhe_data_process/of_model/resnet_v15_of_best_model_val_top1_773/Resnet-conv1_bn-moving_variance/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/resnet_v15_of_best_model_val_top1_773/Resnet-conv1_bn-moving_variance/out rename to dubhe_data_process/of_model/resnet_v15_of_best_model_val_top1_773/Resnet-conv1_bn-moving_variance/out diff --git a/dubhe_data_process/oneflow/of_model/resnet_v15_of_best_model_val_top1_773/Resnet-fc1001-bias/out b/dubhe_data_process/of_model/resnet_v15_of_best_model_val_top1_773/Resnet-fc1001-bias/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/resnet_v15_of_best_model_val_top1_773/Resnet-fc1001-bias/out rename to dubhe_data_process/of_model/resnet_v15_of_best_model_val_top1_773/Resnet-fc1001-bias/out diff --git a/dubhe_data_process/oneflow/of_model/resnet_v15_of_best_model_val_top1_773/Resnet-fc1001-weight/out b/dubhe_data_process/of_model/resnet_v15_of_best_model_val_top1_773/Resnet-fc1001-weight/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/resnet_v15_of_best_model_val_top1_773/Resnet-fc1001-weight/out rename to dubhe_data_process/of_model/resnet_v15_of_best_model_val_top1_773/Resnet-fc1001-weight/out diff --git a/dubhe_data_process/oneflow/of_model/resnet_v15_of_best_model_val_top1_773/Resnet-res2_0_branch1-weight/out b/dubhe_data_process/of_model/resnet_v15_of_best_model_val_top1_773/Resnet-res2_0_branch1-weight/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/resnet_v15_of_best_model_val_top1_773/Resnet-res2_0_branch1-weight/out rename to dubhe_data_process/of_model/resnet_v15_of_best_model_val_top1_773/Resnet-res2_0_branch1-weight/out diff --git a/dubhe_data_process/oneflow/of_model/resnet_v15_of_best_model_val_top1_773/Resnet-res2_0_branch1_bn-beta/out b/dubhe_data_process/of_model/resnet_v15_of_best_model_val_top1_773/Resnet-res2_0_branch1_bn-beta/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/resnet_v15_of_best_model_val_top1_773/Resnet-res2_0_branch1_bn-beta/out rename to dubhe_data_process/of_model/resnet_v15_of_best_model_val_top1_773/Resnet-res2_0_branch1_bn-beta/out diff --git a/dubhe_data_process/oneflow/of_model/resnet_v15_of_best_model_val_top1_773/Resnet-res2_0_branch1_bn-gamma/out b/dubhe_data_process/of_model/resnet_v15_of_best_model_val_top1_773/Resnet-res2_0_branch1_bn-gamma/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/resnet_v15_of_best_model_val_top1_773/Resnet-res2_0_branch1_bn-gamma/out rename to 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dubhe_data_process/oneflow/of_model/resnet_v15_of_best_model_val_top1_773/Resnet-res2_0_branch1_bn-moving_variance/out rename to dubhe_data_process/of_model/resnet_v15_of_best_model_val_top1_773/Resnet-res2_0_branch1_bn-moving_variance/out diff --git a/dubhe_data_process/oneflow/of_model/resnet_v15_of_best_model_val_top1_773/Resnet-res2_0_branch2a-weight/out b/dubhe_data_process/of_model/resnet_v15_of_best_model_val_top1_773/Resnet-res2_0_branch2a-weight/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/resnet_v15_of_best_model_val_top1_773/Resnet-res2_0_branch2a-weight/out rename to dubhe_data_process/of_model/resnet_v15_of_best_model_val_top1_773/Resnet-res2_0_branch2a-weight/out diff --git a/dubhe_data_process/oneflow/of_model/resnet_v15_of_best_model_val_top1_773/Resnet-res2_0_branch2a_bn-beta/out b/dubhe_data_process/of_model/resnet_v15_of_best_model_val_top1_773/Resnet-res2_0_branch2a_bn-beta/out similarity index 100% rename from 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from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer10-bn-moving_mean-momentum/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer10-bn-moving_mean-momentum/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer10-bn-moving_mean/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer10-bn-moving_mean/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer10-bn-moving_mean/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer10-bn-moving_mean/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer10-bn-moving_variance-momentum/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer10-bn-moving_variance-momentum/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer10-bn-moving_variance-momentum/out rename to 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a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer10-conv-weight/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer10-conv-weight/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer10-conv-weight/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer10-conv-weight/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer100-bn-beta-momentum/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer100-bn-beta-momentum/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer100-bn-beta-momentum/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer100-bn-beta-momentum/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer100-bn-beta/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer100-bn-beta/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer100-bn-beta/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer100-bn-beta/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer100-bn-gamma-momentum/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer100-bn-gamma-momentum/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer100-bn-gamma-momentum/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer100-bn-gamma-momentum/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer100-bn-gamma/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer100-bn-gamma/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer100-bn-gamma/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer100-bn-gamma/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer100-bn-moving_mean-momentum/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer100-bn-moving_mean-momentum/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer100-bn-moving_mean-momentum/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer100-bn-moving_mean-momentum/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer100-bn-moving_mean/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer100-bn-moving_mean/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer100-bn-moving_mean/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer100-bn-moving_mean/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer100-bn-moving_variance-momentum/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer100-bn-moving_variance-momentum/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer100-bn-moving_variance-momentum/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer100-bn-moving_variance-momentum/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer100-bn-moving_variance/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer100-bn-moving_variance/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer100-bn-moving_variance/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer100-bn-moving_variance/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer100-conv-weight-momentum/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer100-conv-weight-momentum/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer100-conv-weight-momentum/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer100-conv-weight-momentum/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer100-conv-weight/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer100-conv-weight/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer100-conv-weight/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer100-conv-weight/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer101-bn-beta-momentum/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer101-bn-beta-momentum/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer101-bn-beta-momentum/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer101-bn-beta-momentum/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer101-bn-beta/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer101-bn-beta/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer101-bn-beta/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer101-bn-beta/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer101-bn-gamma-momentum/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer101-bn-gamma-momentum/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer101-bn-gamma-momentum/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer101-bn-gamma-momentum/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer101-bn-gamma/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer101-bn-gamma/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer101-bn-gamma/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer101-bn-gamma/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer101-bn-moving_mean-momentum/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer101-bn-moving_mean-momentum/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer101-bn-moving_mean-momentum/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer101-bn-moving_mean-momentum/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer101-bn-moving_mean/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer101-bn-moving_mean/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer101-bn-moving_mean/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer101-bn-moving_mean/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer101-bn-moving_variance-momentum/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer101-bn-moving_variance-momentum/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer101-bn-moving_variance-momentum/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer101-bn-moving_variance-momentum/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer101-bn-moving_variance/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer101-bn-moving_variance/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer101-bn-moving_variance/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer101-bn-moving_variance/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer101-conv-weight-momentum/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer101-conv-weight-momentum/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer101-conv-weight-momentum/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer101-conv-weight-momentum/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer101-conv-weight/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer101-conv-weight/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer101-conv-weight/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer101-conv-weight/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer102-bn-beta-momentum/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer102-bn-beta-momentum/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer102-bn-beta-momentum/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer102-bn-beta-momentum/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer102-bn-beta/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer102-bn-beta/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer102-bn-beta/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer102-bn-beta/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer102-bn-gamma-momentum/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer102-bn-gamma-momentum/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer102-bn-gamma-momentum/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer102-bn-gamma-momentum/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer102-bn-gamma/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer102-bn-gamma/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer102-bn-gamma/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer102-bn-gamma/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer102-bn-moving_mean-momentum/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer102-bn-moving_mean-momentum/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer102-bn-moving_mean-momentum/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer102-bn-moving_mean-momentum/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer102-bn-moving_mean/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer102-bn-moving_mean/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer102-bn-moving_mean/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer102-bn-moving_mean/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer102-bn-moving_variance-momentum/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer102-bn-moving_variance-momentum/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer102-bn-moving_variance-momentum/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer102-bn-moving_variance-momentum/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer102-bn-moving_variance/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer102-bn-moving_variance/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer102-bn-moving_variance/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer102-bn-moving_variance/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer102-conv-weight-momentum/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer102-conv-weight-momentum/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer102-conv-weight-momentum/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer102-conv-weight-momentum/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer102-conv-weight/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer102-conv-weight/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer102-conv-weight/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer102-conv-weight/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer103-bn-beta-momentum/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer103-bn-beta-momentum/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer103-bn-beta-momentum/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer103-bn-beta-momentum/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer103-bn-beta/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer103-bn-beta/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer103-bn-beta/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer103-bn-beta/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer103-bn-gamma-momentum/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer103-bn-gamma-momentum/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer103-bn-gamma-momentum/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer103-bn-gamma-momentum/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer103-bn-gamma/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer103-bn-gamma/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer103-bn-gamma/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer103-bn-gamma/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer103-bn-moving_mean-momentum/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer103-bn-moving_mean-momentum/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer103-bn-moving_mean-momentum/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer103-bn-moving_mean-momentum/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer103-bn-moving_mean/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer103-bn-moving_mean/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer103-bn-moving_mean/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer103-bn-moving_mean/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer103-bn-moving_variance-momentum/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer103-bn-moving_variance-momentum/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer103-bn-moving_variance-momentum/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer103-bn-moving_variance-momentum/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer103-bn-moving_variance/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer103-bn-moving_variance/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer103-bn-moving_variance/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer103-bn-moving_variance/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer103-conv-weight-momentum/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer103-conv-weight-momentum/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer103-conv-weight-momentum/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer103-conv-weight-momentum/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer103-conv-weight/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer103-conv-weight/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer103-conv-weight/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer103-conv-weight/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer104-bn-beta-momentum/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer104-bn-beta-momentum/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer104-bn-beta-momentum/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer104-bn-beta-momentum/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer104-bn-beta/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer104-bn-beta/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer104-bn-beta/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer104-bn-beta/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer104-bn-gamma-momentum/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer104-bn-gamma-momentum/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer104-bn-gamma-momentum/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer104-bn-gamma-momentum/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer104-bn-gamma/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer104-bn-gamma/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer104-bn-gamma/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer104-bn-gamma/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer104-bn-moving_mean-momentum/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer104-bn-moving_mean-momentum/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer104-bn-moving_mean-momentum/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer104-bn-moving_mean-momentum/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer104-bn-moving_mean/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer104-bn-moving_mean/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer104-bn-moving_mean/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer104-bn-moving_mean/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer104-bn-moving_variance-momentum/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer104-bn-moving_variance-momentum/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer104-bn-moving_variance-momentum/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer104-bn-moving_variance-momentum/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer104-bn-moving_variance/out 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a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer24-bn-gamma/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer24-bn-gamma/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer24-bn-gamma/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer24-bn-gamma/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer24-bn-moving_mean-momentum/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer24-bn-moving_mean-momentum/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer24-bn-moving_mean-momentum/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer24-bn-moving_mean-momentum/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer24-bn-moving_mean/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer24-bn-moving_mean/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer24-bn-moving_mean/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer24-bn-moving_mean/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer24-bn-moving_variance-momentum/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer24-bn-moving_variance-momentum/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer24-bn-moving_variance-momentum/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer24-bn-moving_variance-momentum/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer24-bn-moving_variance/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer24-bn-moving_variance/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer24-bn-moving_variance/out rename to 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a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer48-bn-gamma/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer48-bn-gamma/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer48-bn-gamma/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer48-bn-gamma/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer48-bn-moving_mean-momentum/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer48-bn-moving_mean-momentum/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer48-bn-moving_mean-momentum/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer48-bn-moving_mean-momentum/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer48-bn-moving_mean/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer48-bn-moving_mean/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer48-bn-moving_mean/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer48-bn-moving_mean/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer48-bn-moving_variance-momentum/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer48-bn-moving_variance-momentum/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer48-bn-moving_variance-momentum/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer48-bn-moving_variance-momentum/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer48-bn-moving_variance/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer48-bn-moving_variance/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer48-bn-moving_variance/out rename to 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a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer68-conv-weight/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer68-conv-weight/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer68-conv-weight/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer68-conv-weight/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer7-bn-beta-momentum/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer7-bn-beta-momentum/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer7-bn-beta-momentum/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer7-bn-beta-momentum/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer7-bn-beta/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer7-bn-beta/out similarity index 100% rename from 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a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer7-bn-moving_mean-momentum/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer7-bn-moving_mean-momentum/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer7-bn-moving_mean-momentum/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer7-bn-moving_mean-momentum/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer7-bn-moving_mean/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer7-bn-moving_mean/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer7-bn-moving_mean/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer7-bn-moving_mean/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer7-bn-moving_variance-momentum/out 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a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer93-bn-beta-momentum/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer93-bn-beta-momentum/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer93-bn-beta-momentum/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer93-bn-beta-momentum/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer93-bn-beta/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer93-bn-beta/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer93-bn-beta/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer93-bn-beta/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer93-bn-gamma-momentum/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer93-bn-gamma-momentum/out similarity index 100% rename from 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a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer94-conv-weight-momentum/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer94-conv-weight-momentum/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer94-conv-weight-momentum/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer94-conv-weight-momentum/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer94-conv-weight/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer94-conv-weight/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer94-conv-weight/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer94-conv-weight/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer97-bn-beta-momentum/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer97-bn-beta-momentum/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer97-bn-beta-momentum/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer97-bn-beta-momentum/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer97-bn-beta/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer97-bn-beta/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer97-bn-beta/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer97-bn-beta/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer97-bn-gamma-momentum/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer97-bn-gamma-momentum/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer97-bn-gamma-momentum/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer97-bn-gamma-momentum/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer97-bn-gamma/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer97-bn-gamma/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer97-bn-gamma/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer97-bn-gamma/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer97-bn-moving_mean-momentum/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer97-bn-moving_mean-momentum/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer97-bn-moving_mean-momentum/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer97-bn-moving_mean-momentum/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer97-bn-moving_mean/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer97-bn-moving_mean/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer97-bn-moving_mean/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer97-bn-moving_mean/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer97-bn-moving_variance-momentum/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer97-bn-moving_variance-momentum/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer97-bn-moving_variance-momentum/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer97-bn-moving_variance-momentum/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer97-bn-moving_variance/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer97-bn-moving_variance/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer97-bn-moving_variance/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer97-bn-moving_variance/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer97-conv-weight-momentum/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer97-conv-weight-momentum/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer97-conv-weight-momentum/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer97-conv-weight-momentum/out diff --git a/dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer97-conv-weight/out b/dubhe_data_process/of_model/yolov3_model_python/yolo-layer97-conv-weight/out similarity index 100% rename from dubhe_data_process/oneflow/of_model/yolov3_model_python/yolo-layer97-conv-weight/out rename to dubhe_data_process/of_model/yolov3_model_python/yolo-layer97-conv-weight/out diff --git a/dubhe_data_process/ofrecord.py b/dubhe_data_process/ofrecord.py new file mode 100644 index 0000000..45a6012 --- /dev/null +++ b/dubhe_data_process/ofrecord.py @@ -0,0 +1,181 @@ +""" +/** +* Copyright 2020 Zhejiang Lab. All Rights Reserved. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +* ============================================================= +*/ +""" +# -*- coding: utf-8 -*- + +import logging +import json +import os +import struct +import cv2 +import sched +import numpy as np +import oneflow.core.record.record_pb2 as of_record +import luascript.delaytaskscript as delay_script +import time +import common.config as config +from datetime import datetime + +schedule = sched.scheduler(time.time, time.sleep) + +delayId = "" + +class ImageCoder(object): + """Helper class that provides image coding utilities.""" + + def __init__(self, size=None): + self.size = size + + def _resize(self, image_data): + if self.size is not None and image_data.shape[:2] != self.size: + return cv2.resize(image_data, self.size) + return image_data + + def image_to_jpeg(self, image_data): + image_data = cv2.imdecode(np.fromstring(image_data, np.uint8), 1) + image_data = self._resize(image_data) + return cv2.imencode(".jpg", image_data)[1].tostring( + ), image_data.shape[0], image_data.shape[1] + + +def _process_image(filename, coder): + """Process a single image file. + Args: + filename: string, path to an image file e.g., '/path/to/example.JPG'. + coder: instance of ImageCoder to provide image coding utils. + Returns: + image_buffer: string, JPEG encoding of RGB image. + height: integer, image height in pixels. + width: integer, image width in pixels. + """ + # Read the image file. + with open(filename, 'rb') as f: + image_data = f.read() + image_data, height, width = coder.image_to_jpeg(image_data) + + return image_data, height, width + + +def _bytes_feature(value): + """Wrapper for inserting bytes features into Example proto.""" + return of_record.Feature(bytes_list=of_record.BytesList(value=[value])) + + +def dense_to_one_hot(labels_dense, num_classes): + """Convert class labels from scalars to one-hot vectors.""" + num_labels = labels_dense.shape[0] + index_offset = np.arange(num_labels) * num_classes + labels_one_hot = np.zeros((num_labels, num_classes)) + labels_one_hot.flat[index_offset + labels_dense.ravel()] = 1 + return labels_one_hot + + +def extract_img_label(names, path): + """Extract the images and labels into np array [index]. + Args: + f: A file object that contain images and annotations. + Returns: + data: A 4D uint8 np array [index, h, w, depth]. + labels: a 1D uint8 np array. + num_img: the number of images. + """ + train_img = os.path.join(path, 'origin/') + train_label = os.path.join(path, 'annotation/') + num_imgs = len(names) + data = [] + labels = [] + print('^^^^^^^^^^ start img_set for sycle') + for i in names: + name = os.path.splitext(i)[0] + print(name) + coder = ImageCoder((224, 224)) + image_buffer, height, width = _process_image( + os.path.join(train_img, i), coder) + + data += [image_buffer] + + if os.path.exists(os.path.join(train_label, name)): + + with open(os.path.join(train_label, name), "r", encoding='utf-8') as jsonFile: + la = json.load(jsonFile) + if la: + labels += [la[0]['category_id']] + else: + data.pop() + num_imgs -= 1 + else: + print('File is not found') + print('^^^^^^^^^ img_set for end') + data = np.array(data) + labels = np.array(labels) + print(data.shape, labels.shape) + return num_imgs, data, labels + + +def execute(src_path, desc, label_map, files, part_id, key): + """Execute ofrecord task method.""" + global delayId + delayId = delayId = "\"" + eval(str(key, encoding="utf-8")) + "\"" + logging.info(part_id) + num_imgs, images, labels = extract_img_label(files, src_path) + keys = sorted(list(map(int, label_map.keys()))) + for i in range(len(keys)): + label_map[str(keys[i])] = i + if not num_imgs: + return False, 0, 0 + try: + os.makedirs(desc) + except Exception as e: + print('{} exists.'.format(desc)) + for i in range(num_imgs): + filename = 'part-{}'.format(part_id) + filename = os.path.join(desc, filename) + f = open(filename, 'wb') + print(filename) + img = images[i] + label = label_map[str(labels[i])] + sample = of_record.OFRecord(feature={ + 'class/label': of_record.Feature(int32_list=of_record.Int32List(value=[label])), + 'encoded': _bytes_feature(img) + }) + size = sample.ByteSize() + f.write(struct.pack("q", size)) + f.write(sample.SerializeToString()) + if f: + f.close() + +def delaySchduled(inc, redisClient): + """Delay task method. + Args: + inc: scheduled task time. + redisClient: redis client. + """ + try: + print("delay:" + datetime.now().strftime("B%Y-%m-%d %H:%M:%S")) + redisClient.eval(delay_script.delayTaskLua, 1, config.ofrecordStartQueue, delayId, int(time.time())) + schedule.enter(inc, 0, delaySchduled, (inc, redisClient)) + except Exception as e: + print("delay error" + e) + +def delayKeyThread(redisClient): + """Delay task thread. + Args: + redisClient: redis client. + """ + schedule.enter(0, 0, delaySchduled, (5, redisClient)) + schedule.run() \ No newline at end of file diff --git a/dubhe_data_process/oneflow/README.md b/dubhe_data_process/oneflow-1/README.md similarity index 100% rename from dubhe_data_process/oneflow/README.md rename to dubhe_data_process/oneflow-1/README.md diff --git a/dubhe_data_process/oneflow-1/__init__.py b/dubhe_data_process/oneflow-1/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/dubhe_data_process/oneflow/gen_ofrecord.py b/dubhe_data_process/oneflow-1/gen_ofrecord.py similarity index 97% rename from dubhe_data_process/oneflow/gen_ofrecord.py rename to dubhe_data_process/oneflow-1/gen_ofrecord.py index cd3e322..850ad3e 100644 --- a/dubhe_data_process/oneflow/gen_ofrecord.py +++ b/dubhe_data_process/oneflow-1/gen_ofrecord.py @@ -18,14 +18,10 @@ """ # -*- coding: utf-8 -*- -import argparse import json import math import os -import shutil import struct -import time - import cv2 import numpy as np import oneflow.core.record.record_pb2 as of_record @@ -123,7 +119,7 @@ def extract_img_label(f): return num_imgs, data, labels -def read_data_sets(src, desc,label_map, +def read_data_sets(src, desc, label_map, part_num=8): """ Args: @@ -168,4 +164,4 @@ def read_data_sets(src, desc,label_map, print('********************* end for range') if f: f.close() - return True, num_images, part_num \ No newline at end of file + return True, num_images, part_num diff --git a/dubhe_data_process/oneflow/imagenet_server.py b/dubhe_data_process/oneflow-1/imagenet_server.py similarity index 100% rename from dubhe_data_process/oneflow/imagenet_server.py rename to dubhe_data_process/oneflow-1/imagenet_server.py diff --git a/dubhe_data_process/oneflow/img_process_server.py b/dubhe_data_process/oneflow-1/img_process_server.py similarity index 100% rename from dubhe_data_process/oneflow/img_process_server.py rename to dubhe_data_process/oneflow-1/img_process_server.py diff --git a/dubhe_data_process/oneflow/ofrecord_server.py b/dubhe_data_process/oneflow-1/ofrecord_server.py similarity index 100% rename from dubhe_data_process/oneflow/ofrecord_server.py rename to dubhe_data_process/oneflow-1/ofrecord_server.py diff --git a/dubhe_data_process/oneflow/run_label_server.py b/dubhe_data_process/oneflow-1/run_label_server.py similarity index 100% rename from dubhe_data_process/oneflow/run_label_server.py rename to dubhe_data_process/oneflow-1/run_label_server.py diff --git a/dubhe_data_process/oneflow/upload_config.py b/dubhe_data_process/oneflow-1/upload_config.py similarity index 100% rename from dubhe_data_process/oneflow/upload_config.py rename to dubhe_data_process/oneflow-1/upload_config.py diff --git a/dubhe_data_process/oneflow/.gitignore b/dubhe_data_process/oneflow/.gitignore deleted file mode 100644 index 7cb412c..0000000 --- a/dubhe_data_process/oneflow/.gitignore +++ /dev/null @@ -1,43 +0,0 @@ -# my -log/* -*.log -*.swp -.nfs* -core -*.jpg -*.JPEG -.vscode -# prerequisites -*.pyc -*.d - -# Compiled Object files -*.slo -*.lo -*.o -*.obj - -# Precompiled Headers -*.gch -*.pch - -# Compiled Dynamic libraries -*.so -*.dylib -*.dll - -# Fortran module files -*.mod -*.smod - -# Compiled Static libraries -*.lai -*.la -*.a -*.lib - -# Executables -*.exe -*.out -*.appedb.set_trace() - diff --git a/dubhe_data_process/oneflow/predict_with_print_box.py b/dubhe_data_process/predict_with_print_box.py old mode 100644 new mode 100755 similarity index 100% rename from dubhe_data_process/oneflow/predict_with_print_box.py rename to dubhe_data_process/predict_with_print_box.py diff --git a/dubhe_data_process/taskexecutor.py b/dubhe_data_process/taskexecutor.py new file mode 100644 index 0000000..963db99 --- /dev/null +++ b/dubhe_data_process/taskexecutor.py @@ -0,0 +1,100 @@ +""" +/** +* Copyright 2020 Zhejiang Lab. All Rights Reserved. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +* ============================================================= +*/ +""" +# coding:utf-8 + +import codecs +import sched +import sys +import json +import logging +import time +import common.RedisUtil as f +import common.config as config +import annotation as annotation +from datetime import datetime +import luascript.delaytaskscript as delay_script + +logging.basicConfig(format='%(asctime)s - %(pathname)s[line:%(lineno)d] - %(levelname)s: %(message)s', + level=logging.DEBUG) + +schedule = sched.scheduler(time.time, time.sleep) +sys.stdout = codecs.getwriter("utf-8")(sys.stdout.detach()) + +delayId = "" + + +def annotationExecutor(redisClient, key): + """Annotation task method. + Args: + redisClient: redis client. + key: annotation task key. + """ + global delayId + print('-------------process one-----------------') + try: + delayId = "\"" + eval(str(key, encoding="utf-8")) + "\"" + logging.info('get element is {0}'.format(key)) + key = key.decode() + jsonStr = f.getByKey(redisClient, key.replace('"', '')); + print(jsonStr) + jsonObject = json.loads(jsonStr.decode('utf-8')); + image_path_list = [] + id_list = [] + label_list = [] + label_list = jsonObject['labels'] + for fileObject in jsonObject['files']: + image_path_list.append('/nfs/' + fileObject['url']) + id_list.append(fileObject['id']) + print(image_path_list) + print(id_list) + print(label_list) + coco_flag = 0 + if "labelType" in jsonObject: + label_type = jsonObject['labelType'] + if label_type == 3: + coco_flag = 80 + annotations = annotation._annotation(0, image_path_list, id_list, label_list, coco_flag); + result = {"task": key, "annotations": annotations} + f.pushToQueue(redisClient, config.annotationFinishQueue, json.dumps(result)) + redisClient.zrem(config.annotationStartQueue, key) + except Exception as e: + print(e) + + +def delaySchduled(inc, redisClient): + """Delay task method. + Args: + inc: scheduled task time. + redisClient: redis client. + """ + try: + print("delay:" + datetime.now().strftime("B%Y-%m-%d %H:%M:%S")) + redisClient.eval(delay_script.delayTaskLua, 1, config.annotationStartQueue, delayId, int(time.time())) + schedule.enter(inc, 0, delaySchduled, (inc, redisClient)) + except Exception as e: + print("delay error" + e) + + +def delayKeyThread(redisClient): + """Delay task thread. + Args: + redisClient: redis client. + """ + schedule.enter(0, 0, delaySchduled, (5, redisClient)) + schedule.run() diff --git a/dubhe_data_process/track.py b/dubhe_data_process/track.py new file mode 100644 index 0000000..7f424ab --- /dev/null +++ b/dubhe_data_process/track.py @@ -0,0 +1,93 @@ +""" +/** +* Copyright 2020 Zhejiang Lab. All Rights Reserved. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +* ============================================================= +*/ +""" +# -*- coding: utf-8 -*- +import sched + +import common.config as config +import luascript.delaytaskscript as delay_script +from track_only.hog_track import * + +schedule = sched.scheduler(time.time, time.sleep) + +delayId = "" + + +def trackProcess(task, key): + """Track task method. + Args: + task: dataset id. + key: video file path. + Returns: + True: track success + False: track failed + """ + global delayId + delayId = "\"" + eval(str(key, encoding="utf-8")) + "\"" + task = json.loads(task.decode('utf-8')) + image_list = [] + label_list = [] + images_data = task['images'] + path = task['path'] + + for file in images_data: + filePath = path + "/origin/" + file + annotationPath = path + "/annotation/" + file.split('.')[0] + if not os.path.exists(filePath): + continue + if not os.path.exists(annotationPath): + continue + image_list.append(filePath) + label_list.append(annotationPath) + image_num = len(label_list) + track_det = Detector( + 'xxx.avi', + min_confidence=0.35, + max_cosine_distance=0.2, + max_iou_distance=0.7, + max_age=30, + out_dir='results/') + track_det.write_img = False + RET = track_det.run_track(image_list, label_list) + if RET == 'OK': + return True + else: + return False + + +def delaySchduled(inc, redisClient): + """Delay task method. + Args: + inc: scheduled task time. + redisClient: redis client. + """ + try: + print("delay:" + datetime.now().strftime("B%Y-%m-%d %H:%M:%S")) + redisClient.eval(delay_script.delayTaskLua, 1, config.trackStartQueue, delayId, int(time.time())) + schedule.enter(inc, 0, delaySchduled, (inc, redisClient)) + except Exception as e: + print("delay error" + e) + + +def delayKeyThread(redisClient): + """Delay task thread. + Args: + redisClient: redis client. + """ + schedule.enter(0, 0, delaySchduled, (5, redisClient)) + schedule.run() diff --git a/dubhe_data_process/track_only/hog_track.py b/dubhe_data_process/track_only/hog_track.py index 4ebaff4..67d80a7 100644 --- a/dubhe_data_process/track_only/hog_track.py +++ b/dubhe_data_process/track_only/hog_track.py @@ -1,3 +1,5 @@ +#!/usr/bin/env python3 +# -*- coding: utf-8 -*- """ /** * Copyright 2020 Zhejiang Lab. All Rights Reserved. @@ -16,8 +18,6 @@ * ============================================================= */ """ -#!/usr/bin/env python3 -# -*- coding: utf-8 -*- import json import os import time @@ -25,8 +25,8 @@ from datetime import datetime import cv2 import numpy as np -from mot_track_kc import KCTracker -from util import draw_bboxes_conf_cls +from track_only.mot_track_kc import KCTracker +from track_only.util import draw_bboxes_conf_cls #将box四点坐标转换成左上角坐标和宽和高，并过滤低置信度的框 def bbox_to_xywh_cls_conf(bbox_xyxyc, conf_thresh=0.5): @@ -160,7 +160,7 @@ class Detector(object): if ann_json: for i, annotation in enumerate(ann_json): conf_ = float(annotation['score']) - cls_ = int(annotation['category_id'] - 1) + cls_ = int(annotation['category_id'] - 1 - 80) x1 = float(annotation['bbox'][0]) x2 = float(annotation['bbox'][2] + x1) y1 = float(annotation['bbox'][1]) @@ -178,7 +178,7 @@ class Detector(object): return temp else: for j in range(result.shape[0]): - cls_id = int(result[j][6]) + 1 + cls_id = int(result[j][6]) + 1 + 80 x1 = int(result[j][0]) x2 = int(result[j][2]) y1 = int(result[j][1]) diff --git a/dubhe_data_process/track_only/mot_track_kc.py b/dubhe_data_process/track_only/mot_track_kc.py index 51a2a03..3860cec 100644 --- a/dubhe_data_process/track_only/mot_track_kc.py +++ b/dubhe_data_process/track_only/mot_track_kc.py @@ -26,12 +26,12 @@ import time import cv2 import numpy as np -from feature.feature_extractor_batch import Extractor -from post_process import removeUnMoveLowConfObj, writeResult, removeSmallOrBigBbox -from sort.detection import Detection -from sort.iou_matching import iou -from sort.nn_matching import NearestNeighborDistanceMetric -from sort.tracker import Tracker +from track_only.feature.feature_extractor_batch import Extractor +from track_only.post_process import removeUnMoveLowConfObj, writeResult, removeSmallOrBigBbox +from track_only.sort.detection import Detection +from track_only.sort.iou_matching import iou +from track_only.sort.nn_matching import NearestNeighborDistanceMetric +from track_only.sort.tracker import Tracker class KCTracker(object): diff --git a/dubhe_data_process/track_only/track_server.py b/dubhe_data_process/track_only/track_server.py index 31d72e2..d96d7c3 100644 --- a/dubhe_data_process/track_only/track_server.py +++ b/dubhe_data_process/track_only/track_server.py @@ -1,3 +1,5 @@ +#!/usr/bin/env python3 +# -*- coding: utf-8 -*- """ /** * Copyright 2020 Zhejiang Lab. All Rights Reserved. @@ -23,8 +25,6 @@ 2.本代码中使用的开源python包有：opencv、numpy、scipy、web.py。 """ -#!/usr/bin/env python3 -# -*- coding: utf-8 -*- import _thread import argparse import json diff --git a/dubhe_data_process/videosample.py b/dubhe_data_process/videosample.py new file mode 100644 index 0000000..ca7b3ff --- /dev/null +++ b/dubhe_data_process/videosample.py @@ -0,0 +1,100 @@ +""" +/** +* Copyright 2020 Zhejiang Lab. All Rights Reserved. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +* ============================================================= +*/ +""" +import json +import os +import sched +import time +from datetime import datetime + +import luascript.finishtaskscript as finish_script +import luascript.failedtaskscript as failed_script +import luascript.delaytaskscript as delay_script +import common.config as config + +import cv2 + +schedule = sched.scheduler(time.time, time.sleep) + +datasetIdKey = "" + + +def sampleProcess(datasetId, path, frameList, redisClient): + """Video sampling method. + Args: + datasetId: dataset id. + path: video file path. + frameList: picture frame number list. + redisClient: redis client. + """ + global datasetIdKey + datasetIdJson = {'datasetIdKey': datasetId} + datasetIdKey = json.dumps(datasetIdJson, separators=(',', ':')) + try: + videoName = path.split('/')[-1] + save_path = path.split(videoName)[0].replace("video", "origin") + is_exists = os.path.exists(save_path) + if not is_exists: + os.makedirs(save_path) + print('path of %s is build' % save_path) + else: + print('path of %s already exist and start' % save_path) + cap = cv2.VideoCapture(path) + for i in frameList: + cap.set(cv2.CAP_PROP_POS_FRAMES, i) + success, video_capture = cap.read() + # 保存图片 + if success is True and video_capture is not None: + save_name = save_path + videoName.split('.')[0] + '_' + str(i) + '.jpg' + cv2.imwrite(save_name, video_capture) + redisClient.lpush("videoSample_pictures:" + datasetId, + '{' + '\"pictureName\":' + "\"" + save_name + "\"" + '}') + print('image of %s is saved' % save_name) + print('video is all read') + redisClient.eval(finish_script.finishTaskLua, 3, config.videoStartQueue, config.videoFinishQueue, + "videoSample:" + str(datasetId), + datasetIdKey, str(datasetIdKey)) + except Exception as e: + print(e) + redisClient.eval(failed_script.failedTaskLua, 4, config.videoStartQueue, config.videoFailedQueue, + "videoSample_pictures:" + datasetId, + "videoSample:" + str(datasetId), + datasetIdKey, str(datasetIdKey)) + + +def delaySchduled(inc, redisClient): + """Delay task method. + Args: + inc: scheduled task time. + redisClient: redis client. + """ + try: + print("delay:" + datetime.now().strftime("B%Y-%m-%d %H:%M:%S")) + redisClient.eval(delay_script.delayTaskLua, 1, config.videoStartQueue, datasetIdKey, int(time.time())) + schedule.enter(inc, 0, delaySchduled, (inc, redisClient)) + except Exception as e: + print("delay error" + e) + + +def delayKeyThread(redisClient): + """Delay task thread. + Args: + redisClient: redis client. + """ + schedule.enter(0, 0, delaySchduled, (5, redisClient)) + schedule.run()