ENet - A Neural Net Architecture for real time Semantic Segmentation
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@AvivSham Thank you for your reply! Not the test image. The image I am using is in jpg format and the image size is 266*200.I didn't train the new model, I used the model you provided.I modified your code. #12
@AvivSham Thank you for your reply! Not the test image. The image I am using is in jpg format and the image size is 266*200.I didn't train the new model, I used the model you provided.I modified your code.
Like this:
I just used the images in the Camvid dataset, which is the result.
But the class is not right, from the color point of view
@AvivSham Thank you for your reply! Not the test image. The image I am using is in jpg format and the image size is 266*200.I didn't train the new model, I used the model you provided.I modified your code. Like this:
I just used the images in the Camvid dataset, which is the result. But the class is not right, from the color point of view
Originally posted by @zhouzhubin in https://github.com/iArunava/ENet-Real-Time-Semantic-Segmentation/issues/3#issuecomment-469137452