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Inference visualize #2
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I found it thanks |
hello,have you done for the visualizition demo? |
Yes, you have to define Detector first, and use the image as input. img = cv2.imread(path)
pred = detector.run(img)
results = {}
results[0] = (pred['results'])
r = dataset.convert_eval_format_baseline(results)[0]
bbox = r['bbox']
score = r['score']
face_box = r['face_box']
face_kpts = r['face_kpts']
keypoints = r['keypoints']
lefthand_kpts = r['lefthand_kpts']
righthand_kpts = r['righthand_kpts']
foot_kpts = r['foot_kpts'] |
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Hi, I have some questions.
I used detector to visualize, and i got some coord.
It has {results, tot, load, pre, net, dec, post, merge}, and results has list, its length is 100.
Please let me know what meaning is the return value of detector.
If you have time, please give me some hint to make visualization.
Thank you for your implementations.
Best Regards.
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