fidler-lab / polyrnn-pp-pytorch

PyTorch training/tool code for Polygon-RNN++ (CVPR 2018)

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How to connect the localhost to label?

Flames60 opened this issue · comments

I have run the backend and frontend, and they have printed these content:

1.Backend

Building dataloaders
Dataset Options:  {'batch_size': 1, 'max_poly_len': 71, 'grid_side': 28, 'img_side': 224, 'flip': False, 'random_start': False, 'random_context': [0.15, 0.15]}
Building polyrnnpp with opts:
 {'mode': 'tool', 'max_poly_len': 71, 'temperature': 0.0, 'use_evaluator': True, 'use_bn_lstm': True, 'use_ggnn': True, 'ggnn_n_steps': 5, 'ggnn_state_dim': 1024, 'ggnn_grid_size': 112, 'ggnn_output_dim': 15, 'use_separate_encoder': False, 'return_attention': False, 'dataset': {'train_val': {'batch_size': 1, 'max_poly_len': 71, 'grid_side': 28, 'img_side': 224, 'flip': False, 'random_start': False, 'random_context': [0.15, 0.15]}}}
Building encoder
Building first vertex network
Building convlstm
Building Evaluator
Building GGNN
Building GGNN Feature Encoder
Reloading full model from:  /data/weibo/code/polyrnn-pp-pytorch/models/mle_epoch9_step49000.pth
 * Serving Flask app "tool" (lazy loading)
 * Environment: production
   WARNING: This is a development server. Do not use it in a production deployment.
   Use a production WSGI server instead.
 * Debug mode: off
 * Running on http://0.0.0.0:8080/ (Press CTRL+C to quit)

2.Frontend

Serving HTTP on 0.0.0.0 port 8000 (http://0.0.0.0:8000/) ...

Then how can I label the images? For example, I run the server on 192.168.1.10, but I cannot get into the page like below by type 192.168.1.10:8080 or 192.168.1.10:8000 or 127.0.0.1:8000.
image

Looking forward to your reply.

Maybe it is because I run it on a host I use vpn to connect, I will try it on my own host tomorrow.

Got it!