RNGDet implementation

[mjyun01]

Description

• Code implementation for RNGDet: Road Network Graph Detection by Transformer in Aerial Images
• Check rngdet/requirements.txt for Check the requirements.txt for the required configuration settings.

Type of change

• A new research paper code implementation

Tests

• To train and evaluate new RNGDet network with cityscale dataset, follow descriptions in Readme.md.
• Due to the randomness existing in both sampling and training, the final performance of the proposed models might be slightly different from the number reported in the original paper. Also, different threshold can make different results.

Test Configuration:

• backbone = resnet50, num_quires = 10
• extract_candidate_threshold = 0.65, candidate_filter_threshold = 25, alignment_distance = 10, logit_threshold = 0.75
• More than 10 epoch training with default threshold settings makes reasonable result images.

Checklist

• I have signed the Contributor License Agreement.
• I have read guidelines for pull request.
• My code follows the coding guidelines.
• I have performed a self code review of my own code.
• I have commented my code, particularly in hard-to-understand areas.
• I have made corresponding changes to the documentation.
• My changes generate no new warnings.
• I have added tests that prove my fix is effective or that my feature works.

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[laxmareddyp]

Hi @Zarjagen,

Could you please review and approve the PR here.Thanks