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This repository has been archived by the owner on Aug 3, 2021. It is now read-only.
I want to predict number of persons in a crowd image. But I haven't found any option in your code for this. In test_model.py file
X = f["data"] y = f["label"] "y_predict = model.predict_generator(gen.flow(X,y, 0, 0, None), X.shape[0])"
This means that I have to annotate my jpg image to generate label. Then using this label, I have to predict count! This is not feasible for me. Because I have to deploy an IP camera on crowd scene and feed the image to your model. Then I hope your model can give the crowd count. Can it be done using your model?
The text was updated successfully, but these errors were encountered:
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I want to predict number of persons in a crowd image. But I haven't found any option in your code for this. In test_model.py file
X = f["data"]
y = f["label"]
"y_predict = model.predict_generator(gen.flow(X,y, 0, 0, None), X.shape[0])"
This means that I have to annotate my jpg image to generate label. Then using this label, I have to predict count! This is not feasible for me. Because I have to deploy an IP camera on crowd scene and feed the image to your model. Then I hope your model can give the crowd count. Can it be done using your model?
The text was updated successfully, but these errors were encountered: