Comments (4)
Hi, you can modify this line a little bit to get what you want.
This line give you the predicted label, which is the class id. Instead of calculating accuracy, you can find the class name in this file, and print it out. You will get the predictions.
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Thanks for your apply. I met another problem. I cannot install the dense flow,it looks like the branch of opencv3.1, but when make it, there are so many errors. There are many functions that support by opencv2 not by opencv3.1. I don't know why, can you help me? Thanks
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Just Like the error:
xx/dense_flow/src/dense_warp_flow_gpu.cpp:33:2: error: ‘SurfFeatureDetector’ was not declared in this scope
I found that SurfFeatureDetector is used by opencv2, in opencv3 it should be: Ptr detector = SURF::create( )
So why the dense flow is the branch of opencv3.1,but the code is compatible with opencv2?
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Hi, please check this repo, https://github.com/yjxiong/dense_flow/tree/opencv-3.1, to see if you can successfully compile and run their demo. Let me how it goes. Because I follow their repo to write the code, and it seems fine.
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Related Issues (20)
- About pre-trained Model HOT 2
- test video HOT 5
- Question about training the models together HOT 2
- Different running env? HOT 5
- Can you provide your results for loss and accuracy values of spatial and temporal training?
- The number of GPUs? HOT 1
- I use your restnet152 model parameters for testing, but in split_1 the accuracy is only 67.59%.
- Use the video input from the camera for action recognition HOT 7
- Problems about VideoSpatialPrediction.py HOT 2
- How is the two streams fused ? HOT 1
- What is the accuracy of UCF101?
- what's version of pytorch and cuda
- dense_flow 可不可以在windows安装 HOT 1
- 如果没有安装dense_flow,运行build_of.py文件,是不是不会运行出结果 HOT 1
- fusion two stream feature?
- a PROBLEM when using VGG as motion model
- 老师我想问下怎么late fusion呀 HOT 1
- 关于抽帧的图片存放路径 HOT 2
- video sampling rate in training two-stream network
- About parameter --new_length in training RGB videos
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