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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)
let try with trunc 3.0	f8eac179b1fa79d6451f19a9e6a35b82b94646a4	Thai Thien	2020-07-10 16:43:41
train script	7e6984a9eaa6609182ad6c786f6742dd29f1d017	Thai Thien	2020-06-14 10:23:05
fix H3	71d41ac82f273857f7643d8e63e502c701888a5b	Thai Thien	2020-06-14 10:10:39
typo	bc78059e62b17a5a617e3e0294f5c72dd4bd347e	Thai Thien	2020-06-14 10:06:35
H3_t1_sha H3_t2_sha H3_t2_shb_fixed ccnn_adam_t7_shb ccnn_adam_t7_sha	ca7e1ccab41314f8a30e48609421db3a2c41bbe0	Thai Thien	2020-06-14 09:59:17
train script	da9ad066d6d835f38eb9e9c2b771ff412124552a	Thai Thien	2020-06-13 18:06:22
train script ccnnv9	8ab76b70dad11b1458f8c1bfc2f1765c6ece984d	Thai Thien	2020-06-13 17:57:02
train script	7ab6cf827c811af9a0c9168de2fde4dbd0fb3e61	Thai Thien	2020-06-13 11:54:21
fix typo also	3d32c83c822a66ac24ebb6d8cfe4d023d167d441	Thai Thien	2020-06-13 04:45:27
typo in training script	07c6055e3bdacaca34c0aaacd49d5c87a07f4320	Thai Thien	2020-06-13 04:44:20
ccnnv9 leaky relu	5fd462122ef62498a51dd83db2c89507254d7a96	Thai Thien	2020-06-13 04:40:41
CompactCNNv9 leaky relu	03e5f342cc6eb3ba4fd0b98061398acedde6ab54	Thai Thien	2020-06-13 04:36:43
train script	ad55dbff34ffab8cffd068536c4d2f2b57a487ee	Thai Thien	2020-06-13 04:17:21
add L1Mean, add experiment tag on cometml	125f03f6f136bde9fa11b00a749b8a0c3de51534	Thai Thien	2020-06-13 04:15:30
msenone	f68f48cc1a2e28a65da368a9a66ebec9f8694467	Thai Thien	2020-06-13 03:54:44
train script	2b142c16cce5403d0d673077d2b1e442af072e42	Thai Thien	2020-06-12 16:42:25
train script	67923fc98cd4f82880e973f7dbf143c09ffcf8e8	Thai Thien	2020-06-12 16:01:59
ccnnv8 adam t1 sha, H3	0cab419a2c9747611347b6ddb75ca8a5cb20eb79	Thai Thien	2020-06-11 16:21:47
ccnv8 adam t1 shb	edd704f19c3d58d959c13b96100498c8809b309c	Thai Thien	2020-06-11 15:51:21
ccnnv8	4e8e6e864c3f2fea80a3b61addbc26eb8f3ae059	Thai Thien	2020-06-11 15:47:04

Commit f8eac179b1fa79d6451f19a9e6a35b82b94646a4 - let try with trunc 3.0
Author: Thai Thien
Author date (UTC): 2020-07-10 16:43
Committer name: Thai Thien
Committer date (UTC): 2020-07-10 16:43
Parent(s): 7e6984a9eaa6609182ad6c786f6742dd29f1d017
Signing key:
Tree: 31b5c5dc3d5ca1f595bc0c86dab1a8e24ff42f71

File	Lines added	Lines deleted
dataset_script/shanghaitech-fixed.py	5	2
dataset_script/shanghaitech3/gen_density_b_test.sh	6	0
dataset_script/shanghaitech3/gen_density_b_train.sh	6	0

File dataset_script/shanghaitech-fixed.py changed (mode: 100644) (index ebc6fe9..6c5b13c)
...	...	def preprocess_args_parse():
39	39	parser.add_argument("--root", action="store", default="dev")	parser.add_argument("--root", action="store", default="dev")
40	40	parser.add_argument("--part", action="store", default="dev")	parser.add_argument("--part", action="store", default="dev")
41	41	parser.add_argument("--output", action="store", default="dev")	parser.add_argument("--output", action="store", default="dev")
	42		parser.add_argument("--trunc", action="store", default=4.0)
42	43	arg = parser.parse_args()	arg = parser.parse_args()
43	44	return arg	return arg
44	45

...	...	__OUTPUT_NAME = "ShanghaiTech_PartA_Train/"
48	49	args = preprocess_args_parse()	args = preprocess_args_parse()
49	50	__DATASET_ROOT = args.root	__DATASET_ROOT = args.root
50	51	__OUTPUT_NAME = args.output	__OUTPUT_NAME = args.output
	52		__TRUNC = args.trunc
51	53	__PART = args.part	__PART = args.part
52	54
	55
53	56	def gaussian_filter_density_fixed(gt, sigma):	def gaussian_filter_density_fixed(gt, sigma):
54	57	print(gt.shape)	print(gt.shape)
55	58	density = np.zeros(gt.shape, dtype=np.float32)	density = np.zeros(gt.shape, dtype=np.float32)

...	...	def gaussian_filter_density_fixed(gt, sigma):
63	66	for i, pt in enumerate(pts):	for i, pt in enumerate(pts):
64	67	pt2d = np.zeros(gt.shape, dtype=np.float32)	pt2d = np.zeros(gt.shape, dtype=np.float32)
65	68	pt2d[pt[1], pt[0]] = 1.	pt2d[pt[1], pt[0]] = 1.
66		density += gaussian_filter(pt2d, sigma, mode='constant')
	69		density += gaussian_filter(pt2d, sigma, mode='constant', truncate=__TRUNC)
67	70	print('done.')	print('done.')
68	71	return density	return density
69	72

...	...	def generate_shanghaitech_path(root):
121	124
122	125	if __name__ == "__main__":	if __name__ == "__main__":
123	126	"""	"""
124		TODO: this file will preprocess crowd counting dataset
	127		generate density map from label, fixed sigma, with truncate 3
125	128	"""	"""
126	129
127	130	start_time = time.time()	start_time = time.time()

File dataset_script/shanghaitech3/gen_density_b_test.sh added (mode: 100644) (index 0000000..32c3794)
	1	OMP_NUM_THREADS=10 PYTHONWARNINGS="ignore" HTTPS_PROXY="http://10.60.28.99:86" nohup python shanghaitech-fixed.py \
	2	--root "/data/rnd/thient/thient_data/shanghaitech_with_people_density_map/ShanghaiTech" \
	3	--part "b_test" \
	4	--output "/data/rnd/thient/thient_data/shanghaitech_with_people_density_map/ShanghaiTech_3" \
	5	--trunc 4.0 \
	6	> logs/$task.log &

File dataset_script/shanghaitech3/gen_density_b_train.sh added (mode: 100644) (index 0000000..1d8bd81)
	1	OMP_NUM_THREADS=10 PYTHONWARNINGS="ignore" HTTPS_PROXY="http://10.60.28.99:86" nohup python shanghaitech-fixed.py \
	2	--root "/data/rnd/thient/thient_data/shanghaitech_with_people_density_map/ShanghaiTech" \
	3	--part "b_train" \
	4	--output "/data/rnd/thient/thient_data/shanghaitech_with_people_density_map/ShanghaiTech_3" \
	5	--trunc 4.0 \
	6	> logs/$task.log &

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