Bendang

import torch.nn as nn class BidirectionalLSTM(nn.Module): def __init__(self, nIn, nHidden, nOut): super(BidirectionalLSTM, self).__init__() self.rnn = nn.LSTM(nIn, nHidden, bidirectional=True) self.embedding = nn.Linear(nHidden * 2, nOut) def forward(self, input): recurrent, _ =...

Are you asking higher the epoch better the results? If so then not really, at one point the results will reach the optimum.

All the models (Generator, Discriminator) need an Input Shape of (256, 128, 3). As I can see you are feeding an image shape of (128, 128, 3), make sure your...

To train with shape of (128, 128, 3) you need to change values in two files: 1. `prepare_data.py` : ```python input_shape = (256, 256) # to input_shape = (128, 128)...

I don't see any code changes that in those three functions (`mask_width()`, `get_masked_images()`, `get_demask_images()`) you have mention above. > Now I want to make it around I did not understand...

When I added and run ```python # main.py line no: 48 print([out.op.name for out in model.outputs]) ``` I am getting this values `['mrcnn_detection/Reshape_1', 'mrcnn_class/Reshape_1', 'mrcnn_bbox/Reshape', 'mrcnn_mask/Reshape_1', 'ROI/packed_2', 'rpn_class/concat', 'rpn_bbox/concat']` So...

Did you try this `python3 inferencing/saved_model_inference.py -t grpc -p test_image/monalisa.jpg` and has that worked for you?

Hi @jrash33 glad to hear this repo helped you. Coming to your question, there is already an inference RESTAPI code in `inferencing/saved_model_inference.py` inside there is a method called `detect_mask_single_image_using_restapi()`. This...

Sorry, I do not have any other version that sends requests using a b64 encoded image. The restapi serving model seems to take only list as an input. I do...

This repo has only been tested for [MatterPort MaskRCNN](https://github.com/matterport/Mask_RCNN). I do not know whether it will work for https://github.com/fizyr/keras-maskrcnn. I am not sure but the error might be happening because...