The structure of the model you share seems to be different from the structure of the code you provided

[qiangsir]

hi, I found that the structure of the model I trained with the script is different from the structure of the model you share.

I used this line of code to train: python3 keras_retinanet/bin/train.py --epoch=1 --step=500 --batch-size=5 --random-transform csv 'annotation_sample.csv' 'classes.csv'

[mr7495]

Hello @qiangsir I trained RetinaNet on ResNet50 backbone with this line of code. The only difference is that we implemented a method for concatenating some consecutive frames to improve the detection accuracy, so if you choose to concatenate 5 frames, the input layer would be None,None,None,5 instead of None,None,None,3. Please explain more about the differences between the structure you found and what we reported.

[qiangsir]

@mr7495 I trained the model with 3 frames too.I have saved the structure of the model I trained and the structure of the model you shared with the keras.utils.plot_model function. I uploaded them to my github repository, the address is listed below:

https://github.com/qiangsir/sperm_detection/blob/master/model1.png https://github.com/qiangsir/sperm_detection/blob/master/model2.png

model1 is the structure of final_retinanet_sperm_detection_3frames.h5 that you shared. model2 is the structure of the model I trained with the code.

Obviously, the two models are different in the last few layers.

[mr7495]

@qiangsir The network we shared is the inference version of the RetinaNet model. The inference model has some differences with the training model. We convert the training model to the inference model for testing and using the network after the training is finished. You can read more about the inference and training models in https://github.com/fizyr/keras-retinanet You can also use our final training model by: https://drive.google.com/file/d/14ufFO8GKbE5Qlrm3wloHKQcsnudwHeSR/view?usp=sharing If you compare this model with your own model, you will see that there are no differences.

[qiangsir]

@mr7495 I got it,than you.