xiaobin1231 / fall-detection-by-yolov3-and-liteflownet Goto Github PK

your work is cool!
excuse me, I ran your project。But, my results:


fall show 'normal'. So can you tell me how improve it?

python detect.py --source "/home/ubuntu/MyFiles/2.mp4" --weights"/home/ubuntu/MyFiles/yolov3.pt" --LiteFlowNet_weights "/home/ubuntu/MyFiles/LiteFlowNet.pt"
Namespace(LiteFlowNet_weights='/home/ubuntu/MyFiles/LiteFlowNet.pt', agnostic_nms=False, cfg='cfg/yolov3.cfg', classes=None, conf_thres=0.3, device='', fourcc='mp4v', half=False, img_size=512, iou_thres=0.5, names='data/coco.names', output='output', save_txt=False, source='/home/ubuntu/MyFiles/2.mp4', view_img=True, weights='/home/ubuntu/MyFiles/yolov3.pt')
Using CUDA device0 _CudaDeviceProperties(name='GeForce GTX 1050 Ti', total_memory=4040MB)

video 1/1 (1/29) /home/ubuntu/MyFiles/2.mp4: video 1/1 (2/29) /home/ubuntu/MyFiles/2.mp4: Traceback (most recent call last):
File "detect.py", line 232, in
detect()
File "detect.py", line 104, in detect
wholeflows = batch_estimate(flows_esti, LiteFlowNet)
File "/home/ubuntu/MyFiles/Fall-Detection-By-YOLOV3-and-LiteFlowNet-master/LiteFlowNet/run.py", line 386, in batch_estimate
tensorFlow = torch.nn.functional.interpolate(input=moduleNetwork(tensorPreprocessedFirst, tensorPreprocessedSecond),
File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 532, in call
result = self.forward(*input, **kwargs)
File "/home/ubuntu/MyFiles/Fall-Detection-By-YOLOV3-and-LiteFlowNet-master/LiteFlowNet/run.py", line 327, in forward
tensorFlow = self.moduleMatching[intLevel](tensorFirst[intLevel], tensorSecond[intLevel], tensorFeaturesFirst[intLevel], tensorFeaturesSecond[intLevel], tensorFlow)
File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 532, in call
result = self.forward(*input, **kwargs)
File "/home/ubuntu/MyFiles/Fall-Detection-By-YOLOV3-and-LiteFlowNet-master/LiteFlowNet/run.py", line 178, in forward
tensorCorrelation = torch.nn.functional.leaky_relu(input=correlation.FunctionCorrelation(tensorFirst=tensorFeaturesFirst, tensorSecond=tensorFeaturesSecond, intStride=1), negative_slope=0.1, inplace=False)
AttributeError: module 'correlation' has no attribute 'FunctionCorrelation'

Can you update the detail on how to retrain the model.
Thank you very much!

hi i get this error can you help me plase

Traceback (most recent call last):
File "detect.py", line 8, in
from LiteFlowNet.run import Network, batch_estimate
File "/home/fal/Downloads/Fall-Detection-By-YOLOV3-and-LiteFlowNet-master/LiteFlowNet/run.py", line 21, in
assert(int(str('').join(torch.version.split('.')[0:3])) >= 41) # requires at least pytorch version 0.4.1
ValueError: invalid literal for int() with base 10: '170+cu110'

Is it possible to provide fall detection dataset？

codec: MJPG
input video: .mp4

why can not save result video

Why does the video play so slowly