Subject | Hash | Author | Date (UTC) |
---|---|---|---|
surpress python warning | 82806340334b3beb9916b34bb00a66381ce57aae | Thai Thien | 2020-05-26 12:00:49 |
sha total crop no keepfull | d0783ddab88ed042607738fb665b34028d485d0d | Thai Thien | 2020-05-26 11:49:10 |
sha 60p | d5146c9f28b62fac137a15c862d99e1af30ce5fa | Thai Thien | 2020-05-25 17:28:12 |
t12 | 35b7a40082505da5f79caf4cc16023144e18a7d8 | Thai Thien | 2020-05-24 12:00:45 |
add sha 20p random | 597c821a0103344b5e3b7b80eb2f61c335275ed2 | Thai Thien | 2020-05-24 11:52:18 |
h2 t3 shb | babec8c08d4aebd8af14558eddfa2898918ff152 | Thai Thien | 2020-05-23 16:49:58 |
y_pred | e1c1e8096230344dabfc1c85ccae832ba08aaad6 | Thai Thien | 2020-05-23 16:37:24 |
when not train, return img and true count | 93d3b48fc1cd3a5b43ac0e8782c57f2ea00a48bc | Thai Thien | 2020-05-23 16:33:00 |
map->mat | c64a1548b1e9745c109c211f76e8dc2554cf6747 | Thai Thien | 2020-05-23 16:27:48 |
fix wrong file name | 950ad302d9b0ec6ed04fb4d4a870087dda57281c | Thai Thien | 2020-05-23 16:17:30 |
fix scipy.io | 766d0f3ba48e0c3e0d2562136c5549e20070b805 | Thai Thien | 2020-05-23 15:44:44 |
h2 t3 | 358234af05d250dfccada3b281cd61749ee6c6e4 | Thai Thien | 2020-05-23 15:37:36 |
update experiment_main | e87e1f9e3f0ebe12201c86f61b14a95b9552c199 | Thai Thien | 2020-05-23 14:58:28 |
fix checkAndRecord, add gt count to test data loader | 4290b7bb534ef0f785757b508c8e839ec6b3f9dc | Thai Thien | 2020-05-23 14:38:51 |
log some more | be343dcc3b65f15f30e395eac3ca8271c09d1634 | Thai Thien | 2020-05-21 17:43:04 |
cometml project name | 57ca8f68cbb0b650da74f7117ee60bd25bf0d8d4 | Thai Thien | 2020-05-21 17:39:54 |
train | 1acb89895774528dcec61fad2f2872f2613bff75 | Thai Thien | 2020-05-21 17:34:11 |
train | e67e3fcb8b77db53f990f8582e43c053f69d6c09 | Thai Thien | 2020-05-21 17:31:12 |
fix script | e864e72a9b1fd0e6dfe200b3a9b569016f9894c0 | Thai Thien | 2020-05-21 17:24:38 |
rename | 4f5e84a74bfd4f2a4f60554b9037eb097bafb0df | Thai Thien | 2020-05-21 17:23:08 |
File | Lines added | Lines deleted |
---|---|---|
train_script/CCNN/ccnn_v7_t16_sha.sh | 1 | 1 |
train_script/CCNN/ccnn_v7_t17_sha.sh | 1 | 1 |
train_script/CCNN/ccnn_v7_t18_sha.sh | 1 | 1 |
File train_script/CCNN/ccnn_v7_t16_sha.sh changed (mode: 100644) (index 67a009f..db46417) | |||
1 | 1 | task="ccnn_v7_t16_sha" | task="ccnn_v7_t16_sha" |
2 | 2 | ||
3 | CUDA_VISIBLE_DEVICES=2 OMP_NUM_THREADS=5 HTTPS_PROXY="http://10.60.28.99:86" nohup python experiment_main.py \ | ||
3 | CUDA_VISIBLE_DEVICES=2 OMP_NUM_THREADS=5 PYTHONWARNINGS="ignore" HTTPS_PROXY="http://10.60.28.99:86" nohup python experiment_main.py \ | ||
4 | 4 | --task_id $task \ | --task_id $task \ |
5 | 5 | --note "MSE mean with sha" \ | --note "MSE mean with sha" \ |
6 | 6 | --model "CompactCNNV7" \ | --model "CompactCNNV7" \ |
File train_script/CCNN/ccnn_v7_t17_sha.sh changed (mode: 100644) (index 18b15d1..61fcf35) | |||
1 | 1 | task="ccnn_v7_t17_sha" | task="ccnn_v7_t17_sha" |
2 | 2 | ||
3 | CUDA_VISIBLE_DEVICES=3 OMP_NUM_THREADS=5 HTTPS_PROXY="http://10.60.28.99:86" nohup python experiment_main.py \ | ||
3 | CUDA_VISIBLE_DEVICES=3 OMP_NUM_THREADS=5 PYTHONWARNINGS="ignore" HTTPS_PROXY="http://10.60.28.99:86" nohup python experiment_main.py \ | ||
4 | 4 | --task_id $task \ | --task_id $task \ |
5 | 5 | --note "MSE mean with sha" \ | --note "MSE mean with sha" \ |
6 | 6 | --model "CompactCNNV7" \ | --model "CompactCNNV7" \ |
File train_script/CCNN/ccnn_v7_t18_sha.sh changed (mode: 100644) (index 75c28ff..ff76f0b) | |||
1 | 1 | task="ccnn_v7_t18_sha" | task="ccnn_v7_t18_sha" |
2 | 2 | ||
3 | CUDA_VISIBLE_DEVICES=4 OMP_NUM_THREADS=5 HTTPS_PROXY="http://10.60.28.99:86" nohup python experiment_main.py \ | ||
3 | CUDA_VISIBLE_DEVICES=4 OMP_NUM_THREADS=5 PYTHONWARNINGS="ignore" HTTPS_PROXY="http://10.60.28.99:86" nohup python experiment_main.py \ | ||
4 | 4 | --task_id $task \ | --task_id $task \ |
5 | 5 | --note "MSE mean with sha" \ | --note "MSE mean with sha" \ |
6 | 6 | --model "CompactCNNV7" \ | --model "CompactCNNV7" \ |