hummingbird
/
Dubhe

 
			
							"""
MIT License
Copyright (c) 2020 Ziqiang
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
"""
import numpy as np
import cv2

COLORS_10 = [(144, 238, 144), (178, 34, 34), (221, 160, 221), (0, 255, 0), (0, 128, 0), (210, 105, 30), (220, 20, 60),
             (192, 192, 192), (255, 228, 196), (50, 205, 50), (139, 0, 139), (100, 149, 237), (138, 43, 226), (238, 130, 238),
             (255, 0, 255), (0, 100, 0), (127, 255, 0), (255, 0, 255), (255, 140, 0), (255, 239, 213), (0, 230, 100),
             (199, 21, 133), (124, 252, 0), (147, 112, 219), (106, 90, 205), (176, 196, 222), (65, 105, 225), (173, 255, 47),
             (255, 20, 147), (219, 112, 147), (186, 85, 211), (199, 21, 133), (148, 0, 211), (255, 99, 71), (144, 238, 144),
             (255, 255, 0), (230, 230, 250), (0, 0, 255), (128, 128, 0), (189, 183, 107), (255, 255, 224), (128, 128, 128),
             (105, 105, 105), (64, 224, 208), (205, 133, 63), (0, 128, 128), (72, 209, 204), (139, 69, 19), (255, 245, 238),
             (250, 240, 230), (152, 251, 152), (0, 255, 255), (135, 206, 235), (0, 191, 255), (176, 224, 230), (0, 250, 154),
             (245, 255, 250), (240, 230, 140), (245, 222, 179), (0, 139, 139), (143, 188, 143), (255, 0, 0), (240, 128, 128),
             (102, 205, 170), (60, 179, 113), (46, 139, 87), (165, 42, 42), (178, 34, 34), (175, 238, 238), (255, 248, 220),
             (218, 165, 32), (255, 250, 240), (253, 245, 230), (244, 164, 96), (210, 105, 30)]


def draw_bbox(img, box, cls_name, identity=None, offset=(0, 0)):
    """
        draw box of an id
    """
    x1, y1, x2, y2 = [int(i + offset[idx % 2]) for idx, i in enumerate(box)]
    # set color and label text
    color = COLORS_10[identity %
                      len(COLORS_10)] if identity is not None else COLORS_10[0]
    label = '{} {}'.format(cls_name, identity)
    # box text and bar
    t_size = cv2.getTextSize(label, cv2.FONT_HERSHEY_PLAIN, 1, 1)[0]
    cv2.rectangle(img, (x1, y1), (x2, y2), color, 2)
    cv2.rectangle(
        img, (x1, y1), (x1 + t_size[0] + 3, y1 + t_size[1] + 4), color, -1)
    cv2.putText(img, label, (x1, y1 +
                             t_size[1] +
                             4), cv2.FONT_HERSHEY_PLAIN, 1, [255, 255, 255], 1)
    return img


def draw_bboxes(img, bbox, identities=None, offset=(0, 0)):
    for i, box in enumerate(bbox):
        x1, y1, x2, y2 = [int(i) for i in box]
        x1 += offset[0]
        x2 += offset[0]
        y1 += offset[1]
        y2 += offset[1]
        # box text and bar
        id = int(identities[i]) if identities is not None else 0
        color = COLORS_10[id % len(COLORS_10)]
        label = '{} {}'.format("id", id)
        t_size = cv2.getTextSize(label, cv2.FONT_HERSHEY_PLAIN, 2, 2)[0]
        cv2.rectangle(img, (x1, y1), (x2, y2), color, 2)
        # cv2.rectangle(img,(x1, y1),(x1+t_size[0]+3,y1+t_size[1]+4), color,-1)
        cv2.putText(img, label, (x1, y1 +
                                 t_size[1] +
                                 4), cv2.FONT_HERSHEY_PLAIN, 2, [255, 255, 255], 2)
    return img


def draw_bboxes_conf(img, bbox, conf, identities=None, offset=(0, 0)):
    for i, box in enumerate(bbox):
        x1, y1, x2, y2 = [int(i) for i in box]
        x1 += offset[0]
        x2 += offset[0]
        y1 += offset[1]
        y2 += offset[1]
        # box text and bar
        id = int(identities[i]) if identities is not None else 0
        color = COLORS_10[id % len(COLORS_10)]
        label = '{}|{:.2f}'.format(id, conf[i])
        t_size = cv2.getTextSize(label, cv2.FONT_HERSHEY_PLAIN, 2, 2)[0]
        cv2.rectangle(img, (x1, y1), (x2, y2), color, 2)
        # cv2.rectangle(img,(x1, y1),(x1+t_size[0]+3,y1+t_size[1]+4), color,-1)
        cv2.putText(img, label, (x1, y1 +
                                 t_size[1] +
                                 4), cv2.FONT_HERSHEY_PLAIN, 2, [255, 255, 255], 2)
    return img


def draw_bboxes_conf_cls(
        img,
        bbox,
        conf,
        identities=None,
        offset=(
            0,
            0),
        cls_id_=0):
    for i, box in enumerate(bbox):
        x1, y1, x2, y2 = [int(i) for i in box]
        x1 += offset[0]
        x2 += offset[0]
        y1 += offset[1]
        y2 += offset[1]
        # box text and bar
        id = int(identities[i]) if identities is not None else 0
        color = COLORS_10[cls_id_ % len(COLORS_10)]
        label = '{}|{:.2f}'.format(id, conf[i])
        t_size = cv2.getTextSize(label, cv2.FONT_HERSHEY_PLAIN, 2, 2)[0]
        cv2.rectangle(img, (x1, y1), (x2, y2), color, 2)
        # cv2.rectangle(img,(x1, y1),(x1+t_size[0]+3,y1+t_size[1]+4), color,-1)
        cv2.putText(img, label, (x1, y1 +
                                 t_size[1] +
                                 4), cv2.FONT_HERSHEY_PLAIN, 2, [255, 255, 255], 2)
    return img


def draw_bboxes_color(
    img, bbox, identities=None, color=(
        255, 0, 0), offset=(
            0, 0)):
    for i, box in enumerate(bbox):
        x1, y1, x2, y2 = [int(i) for i in box]
        x1 += offset[0]
        x2 += offset[0]
        y1 += offset[1]
        y2 += offset[1]
        # box text and bar
        id = int(identities[i]) if identities is not None else 0
        name = 'det'
        dx = 0
        if color == (0, 0, 255):
            name = 'reg'
            dx = 40
        elif color == (0, 255, 0):
            name = 'pred'
            dx = 20
        label = '{} {}'.format(name, id)
        t_size = cv2.getTextSize(label, cv2.FONT_HERSHEY_PLAIN, 2, 2)[0]
        cv2.rectangle(img, (x1, y1), (x2, y2), color, 3)
        # cv2.rectangle(img,(x1, y1),(x1+t_size[0]+3,y1+t_size[1]+4), color,-1)
        cv2.putText(img, label, (x1 +
                                 dx, y1 +
                                 t_size[1] +
                                 4), cv2.FONT_HERSHEY_PLAIN, 2, [255, 255, 255], 2)

    return img


def softmax(x):
    assert isinstance(x, np.ndarray), "expect x be a numpy array"
    x_exp = np.exp(x * 5)
    return x_exp / x_exp.sum()


def softmin(x):
    assert isinstance(x, np.ndarray), "expect x be a numpy array"
    x_exp = np.exp(-x)
    return x_exp / x_exp.sum()


if __name__ == '__main__':
    x = np.arange(10) / 10.
    x = np.array([0.5, 0.5, 0.5, 0.6, 1.])
    y = softmax(x)
    z = softmin(x)
    import ipdb
    ipdb.set_trace()