123chengbo

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i use your model and deploy.prototxt for imagenet classification, but result seems to be totally wrong(result labels are all wrong), i compare it to caffenet model、deploy.prototxt(result labels are right)。

@wuyxiquanquan , would you explain your solution?thanks

sorry,i use it in the company, i can not do that, so i wonder if someone can share this for me ,could you help me with this(eg:baidudisk link、or send it...

extremely grateful for your help. @zhreshold

you need to load a video,then detect it frame by frame for example: ssd_test_image.py # test on some demo image and ........(modify from this) cap = cv2.VideoCapture('1.avi') # firstly,you should...

you should give more details,pictures、your code......