Comments (2)
1- where can I find the class names, in which file ?
Inside of database downloaded folder have images and description file you can get more information about database in this link
2- did you try it with video stream ??
No, but I think that will work good with video as well using GPU, but not in real time. I think depending of your GPU the Resnet 152 will process around 5 fps. You can see more about performance of convolution nets in this link If you need real time prediction an way is train other net with lighter shape.
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Thanks @WaGjUb for taking care of this issue.
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Related Issues (20)
- Issue while running demo HOT 1
- Getting Wrong Results HOT 1
- Result file HOT 2
- Unable to sort images HOT 1
- License Information HOT 1
- Error on running demo HOT 4
- Trained model HOT 1
- How to add own car?
- Image not found HOT 3
- How to eradicate error from analyze code?
- Typo in analyze.py HOT 1
- Testing accuracy HOT 2
- OutOfMemory issue on Jetson Nano HOT 1
- Negative dimension size caused by subtracting 3 from 2 for '{{node max_pooling2d/MaxPool}} = MaxPool[T=DT_FLOAT, data_format="NHWC", ksize=[1, 3, 3, 1], padding="VALID", strides=[1, 2, 2, 1]](activation/Relu)' with input shapes: [?,2,112,64]. HOT 15
- Convert into tflite HOT 2
- model.prediect() is too slow when runing demo.py HOT 9
- Train.py (i am getting import issue)
- tf and keras versions
- 大佬,您这个模型是不是不包含国产车呀? HOT 1
- IndentationError: expected an indented block
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