image-recognition

问题 I am trying to run the following code: import tensorflow from imageai.Prediction.Custom import ModelTraining model_trainer = ModelTraining() model_trainer.setModelTypeAsResNet() model_trainer.setDataDirectory("idenprof") model_trainer.trainModel(num_objects=10, num_experiments=200, enhance_data=True, batch_size=32, show_network_summary=True) But I am getting the following error. It says No module name _pywrap_tensorflow_internal . I tried importing tensorflow as well. But the problem still

来源： https://stackoverflow.com/questions/54689808/how-to-add-images-in-a-tensorflow-js-model-and-train-the-model-for-given-images

来源： https://stackoverflow.com/questions/54689808/how-to-add-images-in-a-tensorflow-js-model-and-train-the-model-for-given-images

来源： https://stackoverflow.com/questions/56430566/transfer-learning-val-loss-strange-behaviour

来源： https://stackoverflow.com/questions/56430566/transfer-learning-val-loss-strange-behaviour

问题 I want to search for an image on screen using C# or other .NET languages(like powershell). Something like i give an image location in the file system and the code consider the whole screen as an image and search the image in the file system in the big image(the screen) then returns the image position on screen. I can't find this kind of things in the .net classes. Thanks. 回答1: This is a pretty specific problem, which is why you won't find it in the .NET Framework. You should break down your

问题 I am working in a project where I have to scan the target and recognize the holes in the target and have to score according to the shots. I am not aware of the exact code how to recognize the holes in the target. I imported the opencv library and gone through a program where if I touch it will recognize the corresponding color. Now I am stuck in the coding part. Here is the screenshot of the target sheet that is given to me. Could anyone please help me how to proceed further. Thanks in

问题 I am trying to implement the NIMA Research paper by Google where they rate the image quality. I am using the TID2013 data set. I have 3000 images each one having a score from 0.00 to 9.00 df.head() >> Image Name Score 0 I01_01_1.bmp 5.51429 1 i01_01_2.bmp 5.56757 2 i01_01_3.bmp 4.94444 3 i01_01_4.bmp 4.37838 4 i01_01_5.bmp 3.86486 I FOUND the code for loss function given below def earth_mover_loss(y_true, y_pred): cdf_true = K.cumsum(y_true, axis=-1) cdf_pred = K.cumsum(y_pred, axis=-1) emd =

问题 I have a simple image containing some shapes: some rectangles and some ellipses, in total number of 4 or 5. The shapes can be rotated, scaled and overlapped. There is a sample input: My task is to detect all of these figures and prepare some information about them: size, position, rotation, etc. In my opinion, the core problem is the fact that the shapes can be overlapped by each other. I tried to search some information about this kind of problem and find that OpenCV library can be very

问题 I have a simple image containing some shapes: some rectangles and some ellipses, in total number of 4 or 5. The shapes can be rotated, scaled and overlapped. There is a sample input: My task is to detect all of these figures and prepare some information about them: size, position, rotation, etc. In my opinion, the core problem is the fact that the shapes can be overlapped by each other. I tried to search some information about this kind of problem and find that OpenCV library can be very