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
List of commits:
Subject Hash Author Date (UTC)
fix 77d74f09874a7be0d8fcec141597be4ce331bf0c Thai Thien 2020-09-16 16:08:39
fix 897856c014a517da679a8a1c46c6d0b90c965876 Thai Thien 2020-09-16 16:05:29
jhucrowd_downsample_256 b992d3acc7f1e1aa0ed6265c48e9f065fa1d3085 Thai Thien 2020-09-16 16:02:19
adamw1_bigtail13i_t7_jhu 81e1a8ff445b76f0a9c9c9882a11da65b8b13088 Thai Thien 2020-09-10 18:19:34
adamw1_CompactCNNV7_t1_jhu ed5c3696081241e7ebd7370863ea08ec83467a0b Thai Thien 2020-09-10 18:12:05
no force cache 33946d1f09a1e77c7758acbcd61e385a1800e854 Thai Thien 2020-09-10 17:47:06
skip train eval 186cb449855cb567fc61801bd3a1a4c0767a7d35 Thai Thien 2020-09-10 17:17:10
70 cuda mem but why ? f63f482418b6c85d2a289da9e9e43ca2b50cdd5d Thai Thien 2020-09-10 16:42:00
n_thread int f6243317336e07b9b6177c89ec3072c7d18189c6 Thai Thien 2020-09-10 16:22:36
t3 fix num thread 8981cf96a953c643b3443f39ad73487d2e7e044d Thai Thien 2020-09-10 16:20:28
jhu float32 c0b004d6a733f83e469bb3d48f7e20a9c7113957 Thai Thien 2020-09-10 16:14:09
fix float 8867f5d5e160c38a1a7d67b2fac728cf60e6649e Thai Thien 2020-09-10 16:03:15
try catch empty file e7d392cd6ec807f3ae242ef5090f5725ced9f897 Thai Thien 2020-09-10 15:40:14
case no label at all 51b423b2ee9271e3639a332ecab092944636d8f2 Thai Thien 2020-09-09 13:49:29
remove experiment 06478164cb8e00ed5512a0d4db0dbc6edc1b5ad1 Thai Thien 2020-09-08 15:10:33
val train test 5a43d57ba16667cb96f9514dcf4b81167ff8bd5a Thai Thien 2020-09-08 15:01:51
parallel, try catch excemption 9ac6a36880a113c1820b1e6a702ed5c08ebcb03f Thai Thien 2020-09-08 14:55:08
now show the number of point in log 54a1a16adf32c866ed65808d16da5f997d27b54f Thai Thien 2020-09-07 17:19:18
gt to ground-truth 3996d1c19d68f3669b5f54e5b621635f0b87a9fc Thai Thien 2020-09-07 17:06:15
change data path 5e6605625ba130310fbeaade259e4a5b98987dad Thai Thien 2020-09-07 17:04:43
Commit 77d74f09874a7be0d8fcec141597be4ce331bf0c - fix
Author: Thai Thien
Author date (UTC): 2020-09-16 16:08
Committer name: Thai Thien
Committer date (UTC): 2020-09-16 16:08
Parent(s): 897856c014a517da679a8a1c46c6d0b90c965876
Signing key:
Tree: 699357a958c84c5ff810b2d2d921d33fa6164d5e
File Lines added Lines deleted
data_flow.py 1 1
File data_flow.py changed (mode: 100644) (index d3a2f21..d7fed10)
... ... def load_data_jhucrowd_downsample_256(img_path, train=True, debug=False):
1081 1081 if img_origin.size[0] - crop_sq_size < 0 or img_origin.size[1] - crop_sq_size < 0: # we crop more than we can chew, so... if img_origin.size[0] - crop_sq_size < 0 or img_origin.size[1] - crop_sq_size < 0: # we crop more than we can chew, so...
1082 1082 return None, None return None, None
1083 1083 img = img_origin.crop((dx, dy, crop_size[0] + dx, crop_size[1] + dy)) img = img_origin.crop((dx, dy, crop_size[0] + dx, crop_size[1] + dy))
1084 img2 = img.resize((int(img_origin.size[0] / 2), int(img_origin.size[1] / 2)), resample=Image.ANTIALIAS)
1084 img2 = img.resize((int(img.size[0] / 2), int(img.size[1] / 2)), resample=Image.ANTIALIAS)
1085 1085 target = target[dy:crop_size[1] + dy, dx:crop_size[0] + dx] target = target[dy:crop_size[1] + dy, dx:crop_size[0] + dx]
1086 1086
1087 1087 if random.random() > 0.8: if random.random() > 0.8:
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