Fully-convolutional-neural-network-FCN-for-semantic-segmentation-Tensorflow-implementation
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sagieppel
Hi and thanks for the excelent work you have done on yolov8. I'm trying to understand the different between training, finetuning and transfer learning. I want to use yolov8 as...
Excuse me, I have some questions to ask. Can your fcn model predict multiple categories from a single image? For example, to train a model to recognize dogs and cats,...
Landlord, why are the pictures in Output_Prediction / OverLay output by this test part of the code all mosaics? Can't see the effect of segmentation
Hi, I referenced this model when working on - converting model to protobuf(.pb) - converting model to tflite(.tflite) and made some changes for it. I hope this pull request can...
Hi, Thank you so much for sharing your code. I have tried it. The training and validation are run successfully. However, after run the Inference.py, the prediction result "/label" only...
Hello, I have a problem about this. My test pictures is a RGB three chanels,and Labels is PNG . ValueError: could not broadcast input array from shape (456,607,4) into shape...
Loss Nan
My loss is Nan in all iterations. I am training on my own dataset. The labels are 0 for background and 1 for the ROI i am intending to segment....
我在运行增强代码时会遇到这种奇怪的问题，请问您知道是怎么回事吗？十分感谢。
I have trained the architecture (FCN-8s) with your dataset (Vessels with four classes background, empty region, liquid, solid) and evaluated on your dataset. I didn't get a perfect result (for...
Thanks for your code! But when i'm trying to run TRAIN.py I'm having this error ReadAndAugmentNextBatch Labels[f, :, :,0]=Label ValueError: could not broadcast input array from shape (277,261,3) into shape...
