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hahattpro / crowd_counting_framework (public) (License: Unspecified) (since 2020-12-23) (hash sha1)

backupfrom https://github.com/ttpro1995/crowd_counting_framework

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List of commits:

Subject	Hash	Author	Date (UTC)
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
test train val	e817f1d6f4743286735811fff60f64080a8e76ed	Thai Thien	2020-09-07 17:02:57
add profiler	fac9aa609d6de1e8cd9cb8a8a97f00063aaae310	Thai Thien	2020-09-07 16:59:36
generate dataset again	7475799e0ff4bdc51ce86ca98751535c841d49c9	Thai Thien	2020-09-07 16:52:00
try to fix cannot convert float infinity to integer	b29a994c2f3e73e78ec2ca7d1ad808049f1008e9	Thai Thien	2020-09-07 16:49:44
jhu adamw1_bigtail13i_t1_jhu	77bb789fa2ffadfc07ec6f99e1bcf44bde24bfc3	Thai Thien	2020-09-07 16:38:13
train_dev_test	cbfc478aaf7db3accb41a763b0818910999d25a5	Thai Thien	2020-09-06 17:29:37
seem working	c44af597b7adf98ecaf3a71e565de8688f7ff6ba	Thai Thien	2020-09-06 15:55:28
done single sample	cee46d309e9bb91ac4185b0e1b74deddefbc8553	Thai Thien	2020-09-06 15:24:39
a	ec2103c6617ad84375e5a7a0f3cde3b32ab012a0	Thai Thien	2020-08-23 15:39:51
pred_count	d9168903486d7a88c0763a8e93b18d1ed89d2d40	Thai Thien	2020-08-23 15:37:02
density_map_count = gt_density.detach().sum()	015c7ab3a1734c6002065f775f90870b6c5bdbd5	Thai Thien	2020-08-23 15:35:31

Commit 8867f5d5e160c38a1a7d67b2fac728cf60e6649e - fix float

RuntimeError: Expected object of scalar type float but got scalar type double for sequence element 12.

Author: Thai Thien
Author date (UTC): 2020-09-10 16:03
Committer name: Thai Thien
Committer date (UTC): 2020-09-10 16:03
Parent(s): e7d392cd6ec807f3ae242ef5090f5725ced9f897
Signing key:
Tree: d5e77924fba1440c405c969600af2702457dd157

File	Lines added	Lines deleted
data_flow.py	1	1

File data_flow.py changed (mode: 100644) (index 6172db8..c9960d9)
...	...	def load_data_jhucrowd_256(img_path, train=True, debug=False):
1055	1055	interpolation=cv2.INTER_CUBIC) * target_factor * target_factor	interpolation=cv2.INTER_CUBIC) * target_factor * target_factor
1056	1056	# target1 = target1.unsqueeze(0) # make dim (batch size, channel size, x, y) to make model output	# target1 = target1.unsqueeze(0) # make dim (batch size, channel size, x, y) to make model output
1057	1057	target1 = np.expand_dims(target1, axis=0) # make dim (batch size, channel size, x, y) to make model output	target1 = np.expand_dims(target1, axis=0) # make dim (batch size, channel size, x, y) to make model output
1058		return img, target1
	1058		return img, target1.astype('float32')
1059	1059
1060	1060
1061	1061	def data_augmentation(img, target):	def data_augmentation(img, target):

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