File size: 7,194 Bytes
7734d5b
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
import os
import sys
import json
import cv2
import glob as gb
import numpy as np


def colormap(rgb=False):
    color_list = np.array(
        [
            0.000, 0.447, 0.741,
            0.850, 0.325, 0.098,
            0.929, 0.694, 0.125,
            0.494, 0.184, 0.556,
            0.466, 0.674, 0.188,
            0.301, 0.745, 0.933,
            0.635, 0.078, 0.184,
            0.300, 0.300, 0.300,
            0.600, 0.600, 0.600,
            1.000, 0.000, 0.000,
            1.000, 0.500, 0.000,
            0.749, 0.749, 0.000,
            0.000, 1.000, 0.000,
            0.000, 0.000, 1.000,
            0.667, 0.000, 1.000,
            0.333, 0.333, 0.000,
            0.333, 0.667, 0.000,
            0.333, 1.000, 0.000,
            0.667, 0.333, 0.000,
            0.667, 0.667, 0.000,
            0.667, 1.000, 0.000,
            1.000, 0.333, 0.000,
            1.000, 0.667, 0.000,
            1.000, 1.000, 0.000,
            0.000, 0.333, 0.500,
            0.000, 0.667, 0.500,
            0.000, 1.000, 0.500,
            0.333, 0.000, 0.500,
            0.333, 0.333, 0.500,
            0.333, 0.667, 0.500,
            0.333, 1.000, 0.500,
            0.667, 0.000, 0.500,
            0.667, 0.333, 0.500,
            0.667, 0.667, 0.500,
            0.667, 1.000, 0.500,
            1.000, 0.000, 0.500,
            1.000, 0.333, 0.500,
            1.000, 0.667, 0.500,
            1.000, 1.000, 0.500,
            0.000, 0.333, 1.000,
            0.000, 0.667, 1.000,
            0.000, 1.000, 1.000,
            0.333, 0.000, 1.000,
            0.333, 0.333, 1.000,
            0.333, 0.667, 1.000,
            0.333, 1.000, 1.000,
            0.667, 0.000, 1.000,
            0.667, 0.333, 1.000,
            0.667, 0.667, 1.000,
            0.667, 1.000, 1.000,
            1.000, 0.000, 1.000,
            1.000, 0.333, 1.000,
            1.000, 0.667, 1.000,
            0.167, 0.000, 0.000,
            0.333, 0.000, 0.000,
            0.500, 0.000, 0.000,
            0.667, 0.000, 0.000,
            0.833, 0.000, 0.000,
            1.000, 0.000, 0.000,
            0.000, 0.167, 0.000,
            0.000, 0.333, 0.000,
            0.000, 0.500, 0.000,
            0.000, 0.667, 0.000,
            0.000, 0.833, 0.000,
            0.000, 1.000, 0.000,
            0.000, 0.000, 0.167,
            0.000, 0.000, 0.333,
            0.000, 0.000, 0.500,
            0.000, 0.000, 0.667,
            0.000, 0.000, 0.833,
            0.000, 0.000, 1.000,
            0.000, 0.000, 0.000,
            0.143, 0.143, 0.143,
            0.286, 0.286, 0.286,
            0.429, 0.429, 0.429,
            0.571, 0.571, 0.571,
            0.714, 0.714, 0.714,
            0.857, 0.857, 0.857,
            1.000, 1.000, 1.000
        ]
    ).astype(np.float32)
    color_list = color_list.reshape((-1, 3)) * 255
    if not rgb:
        color_list = color_list[:, ::-1]
    return color_list


def txt2img(visual_path="visual_val_gt"):
    print("Starting txt2img")

    valid_labels = {1}
    ignore_labels = {2, 7, 8, 12}

    if not os.path.exists(visual_path):
        os.makedirs(visual_path)
    color_list = colormap()

    gt_json_path = 'datasets/mot/annotations/val_half.json'
    img_path = 'datasets/mot/train/'
    show_video_names = ['MOT17-02-FRCNN', 
                    'MOT17-04-FRCNN',
                    'MOT17-05-FRCNN',
                    'MOT17-09-FRCNN',
                    'MOT17-10-FRCNN',        
                    'MOT17-11-FRCNN',
                    'MOT17-13-FRCNN']


    test_json_path = 'datasets/mot/annotations/test.json'
    test_img_path = 'datasets/mot/test/'
    test_show_video_names = ['MOT17-01-FRCNN', 
                    'MOT17-03-FRCNN',
                    'MOT17-06-FRCNN',
                    'MOT17-07-FRCNN',
                    'MOT17-08-FRCNN',        
                    'MOT17-12-FRCNN',
                    'MOT17-14-FRCNN']
    if visual_path == "visual_test_predict":
        show_video_names = test_show_video_names
        img_path = test_img_path
        gt_json_path = test_json_path
    for show_video_name in show_video_names:
        img_dict = dict()
        
        if visual_path == "visual_val_gt":
            txt_path = 'datasets/mot/train/' + show_video_name + '/gt/gt_val_half.txt'
        elif visual_path == "visual_yolox_x":
            txt_path = 'YOLOX_outputs/yolox_mot_x_1088/track_results/'+ show_video_name + '.txt'
        elif visual_path == "visual_test_predict":
            txt_path = 'test/tracks/'+ show_video_name + '.txt'
        else:
            raise NotImplementedError
        
        with open(gt_json_path, 'r') as f:
            gt_json = json.load(f)

        for ann in gt_json["images"]:
            file_name = ann['file_name']
            video_name = file_name.split('/')[0]
            if video_name == show_video_name:
                img_dict[ann['frame_id']] = img_path + file_name


        txt_dict = dict()    
        with open(txt_path, 'r') as f:
            for line in f.readlines():
                linelist = line.split(',')

                mark = int(float(linelist[6]))
                label = int(float(linelist[7]))
                vis_ratio = float(linelist[8])
                
                if visual_path == "visual_val_gt":
                    if mark == 0 or label not in valid_labels or label in ignore_labels or vis_ratio <= 0:
                        continue

                img_id = linelist[0]
                obj_id = linelist[1]
                bbox = [float(linelist[2]), float(linelist[3]), 
                        float(linelist[2]) + float(linelist[4]), 
                        float(linelist[3]) + float(linelist[5]), int(obj_id)]
                if int(img_id) in txt_dict:
                    txt_dict[int(img_id)].append(bbox)
                else:
                    txt_dict[int(img_id)] = list()
                    txt_dict[int(img_id)].append(bbox)

        for img_id in sorted(txt_dict.keys()):
            img = cv2.imread(img_dict[img_id])
            for bbox in txt_dict[img_id]:
                cv2.rectangle(img, (int(bbox[0]), int(bbox[1])), (int(bbox[2]), int(bbox[3])), color_list[bbox[4]%79].tolist(), thickness=2)
                cv2.putText(img, "{}".format(int(bbox[4])), (int(bbox[0]), int(bbox[1])), cv2.FONT_HERSHEY_SIMPLEX, 0.8, color_list[bbox[4]%79].tolist(), 2)
            cv2.imwrite(visual_path + "/" + show_video_name + "{:0>6d}.png".format(img_id), img)
        print(show_video_name, "Done")
    print("txt2img Done")

        
def img2video(visual_path="visual_val_gt"):
    print("Starting img2video")

    img_paths = gb.glob(visual_path + "/*.png") 
    fps = 16 
    size = (1920,1080) 
    videowriter = cv2.VideoWriter(visual_path + "_video.avi",cv2.VideoWriter_fourcc('M','J','P','G'), fps, size)

    for img_path in sorted(img_paths):
        img = cv2.imread(img_path)
        img = cv2.resize(img, size)
        videowriter.write(img)

    videowriter.release()
    print("img2video Done")


if __name__ == '__main__':
    visual_path="visual_yolox_x"
    if len(sys.argv) > 1:
        visual_path =sys.argv[1]
    txt2img(visual_path)
    #img2video(visual_path)