Kazuhide Mimura

Hi, I have the same problem. If anyone has actually used "class_weight", I want to know whether the results improved, or how you set the weight of each class. (I'm...

@Altimis Thank you for quick response and kind advises. I am trying one class detection from images including a huge number of objects I don't want to detect, and I...

@acivit Hi, I haven't seen such error code, so I just write a change I've made in my code. I changed L. 2364-2375 of [model.py](https://github.com/matterport/Mask_RCNN/blob/master/mrcnn/model.py) as follows. `self.keras_model.fit_generator(` ` train_generator,`...

@Altimis Thank you for your kind advice (last year). I labeled all the noise and set a class_weight. It took so much time, but it was effective.

@acivit I didn't change any other part for setting class_weight. Where's the class_weight dictionary defined in your code? I once tried to define the weight dictionary at outside of model.py,...

Hi, I've made an extension to generate rotated images in smaller number of classes. If you don't need to determine the exact angle, please try a 4-step rotation (in 90°...

Hi @HAsarvesh , thank you for the repo. Would you provide me with a detailed error log? I'd like to know where the error occurred.

You don't need add special treatment to the original image. I think the possibilities are: 1. Training did not go well 2. `nb_classes` is not designated For example, if you...

Here? https://github.com/d4nst/RotNet/blob/a56ea59818bbdd76d4dd8d83b8bbbaae6a802310/correct_rotation.py#L32 ``` predictions = model.predict_generator( RotNetDataGenerator( image_paths, input_shape=(224, 224, 3), batch_size=64, one_hot=True, preprocess_func=preprocess_input, rotate=False, crop_largest_rect=True, crop_center=True, nb_classes = model.layers[-1].units, # added. Not sure it works, but statement is required...