hahattpro / crowd_counting_framework (public) (License: Unspecified) (since 2020-12-23) (hash sha1)
backupfrom https://github.com/ttpro1995/crowd_counting_framework
Clone URLs: https://rocketgit.com/user/hahattpro/crowd_counting_framework ssh://rocketgit@ssh.rocketgit.com/user/hahattpro/crowd_counting_framework git://git.rocketgit.com/user/hahattpro/crowd_counting_framework
debug/a-1 develop feature/add_can_adcrowdnet feature/add_context_aware_network feature/attn_can_adcrowd_simple feature/cache_dataloader feature/compact_cnn feature/compare_with_original_count feature/dataloader_not_divide_8 feature/debug_viz feature/documentation feature/improve_density_gen feature/improve_loss_fn feature/loader_full_and_augment feature/refactor-dataflow feature/refactor_ccnn_basecode feature/save_best feature/simple_cometml feature/train_context_aware_network_on_shtA feature/train_dev_test_split hotfix/fix_visualize_data_loader master meow_exp server-training with_apex

Mode Type Size Ref File
100644 blob 112 54a0bfa5d13ea1dd49622ed3704ad36f6cd68749 .gitignore
100644 blob 1342 f2eb3073ff4a8536cf4e8104ff942b525e3c7f34 .travis.yml
100644 blob 1379 ebf62a5eacea82b71a44bab3c917754f2de5cb10 README.md
100644 blob 9232 d68650a3479daf7de65eb76b0cfa40e9e9dff7f4 args_util.py
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100644 blob 3591 7b4c18e8cf2c0417cd13d3f77ea0571c9e0e493f crowd_counting_error_metrics.py
100644 blob 63592 812e169de39d3f40f6425035db0deb5e4f878d7c data_flow.py
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100644 blob 4460 9b254c348a3453f4df2c3ccbf21fb175a16852de eval_context_aware_network.py
100644 blob 428 35cc7bfe48a4ed8dc56635fd3a6763612d8af771 evaluator.py
100644 blob 17331 f8ecc52d47689099668207feda6732ef8d49b5b5 experiment_main.py
100644 blob 8876 049432d6bde50245a4acba4e116d59605b5b6315 experiment_meow_main.py
100644 blob 1916 1d228fa4fa2887927db069f0c93c61a920279d1f explore_model_summary.py
100644 blob 2718 b09b84e8b761137654ba6904669799c4866554b3 hard_code_variable.py
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100644 blob 15300 cb90faba0bd4a45f2606a1e60975ed05bfacdb07 main_pacnn.py
100644 blob 2760 3c2d5ba1c81ef2770ad216c566e268f4ece17262 main_shanghaitech.py
100644 blob 2683 29189260c1a2c03c8e59cd0b4bd61df19d5ce098 main_ucfcc50.py
100644 blob 2794 f37b3bb572c53dd942c51243bd5b0853228c6ddb model_util.py
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100644 blob 870 8f5ce4f7e0b168add5ff2a363faa973a5b56ca48 mse_l1_loss.py
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040000 tree - 1a8318c65dcb1ddae26e7058904e3b8848933d19 notebook
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100644 blob 1727 1cd14cbff636cb6145c8bacf013e97eb3f7ed578 sanity_check_dataloader.py
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100644 blob 3525 27067234ad3deddd743dcab0d7b3ba4812902656 train_attn_can_adcrowdnet.py
100644 blob 3488 e47bfc7e91c46ca3c61be0c5258302de4730b06d train_attn_can_adcrowdnet_freeze_vgg.py
100644 blob 5352 3ee3269d6fcc7408901af46bed52b1d86ee9818c train_attn_can_adcrowdnet_simple.py
100644 blob 5728 90b846b68f15bdc58e3fd60b41aa4b5d82864ec4 train_attn_can_adcrowdnet_simple_lrscheduler.py
100644 blob 9081 664051f8838434c386e34e6dd6e6bca862cb3ccd train_compact_cnn.py
100644 blob 5702 fdec7cd1ee062aa4a2182a91e2fb1bd0db3ab35f train_compact_cnn_lrscheduler.py
100644 blob 5611 2a241c876015db34681d73ce534221de482b0b90 train_compact_cnn_sgd.py
100644 blob 3525 eb52f7a4462687c9b2bf1c3a887014c4afefa26d train_context_aware_network.py
100644 blob 5651 48631e36a1fdc063a6d54d9206d2fd45521d8dc8 train_custom_compact_cnn.py
100644 blob 5594 07d6c9c056db36082545b5b60b1c00d9d9f6396d train_custom_compact_cnn_lrscheduler.py
100644 blob 5281 8a92eb87b54f71ad2a799a7e05020344a22e22d3 train_custom_compact_cnn_sgd.py
040000 tree - 0ea3b4b49334cf4df4bcb699146f9936cec1ef8d train_script
100644 blob 6595 5b8afd4fb322dd7cbffd1a589ff5276b0e3edeb5 visualize_data_loader.py
100644 blob 1772 449bb484143443c125566907a4b862d1c283c3f3 visualize_util.py
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