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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)
no_norm	da3c84dca19b0d281082679d88af3b9d27165bfe	Thai Thien	2020-04-25 17:32:45
M4_t3_sha_c_shb	d0d61ff74ed23f595d05d6a813c0a93239f61438	Thai Thien	2020-04-25 17:17:56
training script	624ecec7b12641f734e12ee2ebb6158c7c89683a	Thai Thien	2020-04-25 17:08:25
clean up trash	05fa10a45e7c4f9d0ba6b80e578a0f934a86121e	Thai Thien	2020-04-25 17:08:04
increase epoch sha	96e0315a34286751258902b1e954ea5e43145ee1	Thai Thien	2020-04-23 17:24:53
turn off debug	36a2603484395ed130dd7dcb69c98c7057adf3ec	Thai Thien	2020-04-23 17:21:51
chang proxy	ce5434adf6002e3c1e14eee8fb50023ba9f1da39	Thai Thien	2020-04-23 17:19:00
fix typo	4f5c034e3fcbd9d3dd66333c7e81db79053c210b	Thai Thien	2020-04-23 17:12:23
M4_t3	9ed8f35d94e43d0869d9ee07d98395ed4d4cd3fd	Thai Thien	2020-04-23 16:18:49
fix	b2235d1abdb20c3e1bfcc0d42870dad4b706babc	Thai Thien	2020-04-23 16:13:17
debug	6cda7a90f14c5768be5bfbb9d87a985cae845f4c	Thai Thien	2020-04-23 11:27:53
best score checkpoint , timer	bb26cec915aa04d68a0dd00911c273542f9b34b5	Thai Thien	2020-04-23 11:16:24
typo	2636cf5b78f062c89196c4f462afc4b72aa39798	Thai Thien	2020-04-19 12:10:51
M4	317900419b7ba25c679dd582a6de5fc00fc764ec	Thai Thien	2020-04-19 12:09:51
m4 t2	a02b9610e868f4ba5e64496dc0c861a269f4cb9f	Thai Thien	2020-04-17 16:01:39
fix url	358f164d558dab393f65c0829d8d9c37b1437ff3	Thai Thien	2020-04-16 14:32:49
increase epoch	03be68a9e02df1ffa245394ea3096990e8f9d44b	Thai Thien	2020-04-16 14:30:15
add load model	044a398d62add2e854b79b0b3c48c961a4a20bb0	Thai Thien	2020-04-16 14:27:43
M4	c960a8e3ddbfb7fc57f3f843fa4184c063cf8cdb	Thai Thien	2020-04-16 14:22:37
typo again	3dbe3ce4634b8d4ca30b012851c5b9690b1d88d7	Thai Thien	2020-04-13 15:49:23

Commit da3c84dca19b0d281082679d88af3b9d27165bfe - no_norm

ccnn_v2_t9_sha

ccnn_v2_t10_sha

Author: Thai Thien
Author date (UTC): 2020-04-25 17:32
Committer name: Thai Thien
Committer date (UTC): 2020-04-25 17:32
Parent(s): d0d61ff74ed23f595d05d6a813c0a93239f61438
Signing key:
Tree: 9741a19f1e7a30155ac68db0d6991cafa107a30a

File	Lines added	Lines deleted
args_util.py	2	0
train_compact_cnn.py	6	1
train_script/CCNN/ccnn_v2_t10_sha.sh	9	0
train_script/CCNN/ccnn_v2_t9_sha.sh	9	0

File args_util.py changed (mode: 100644) (index 5f8c6f4..0edf39f)
...	...	def my_args_parse():
96	96	parser.add_argument('--batch_size', action="store", default=1, type=int,	parser.add_argument('--batch_size', action="store", default=1, type=int,
97	97	help="only set batch_size > 0 for dataset with image size equal")	help="only set batch_size > 0 for dataset with image size equal")
98	98	parser.add_argument('--test', action="store_true", default=False)	parser.add_argument('--test', action="store_true", default=False)
	99		parser.add_argument('--no_norm', action="store_true", default=False,
	100		help="if true, does not use transforms.Normalize in dataloader")
99	101	arg = parser.parse_args()	arg = parser.parse_args()
100	102	return arg	return arg
101	103

File train_compact_cnn.py changed (mode: 100644) (index 28bd010..966c973)
...	...	if __name__ == "__main__":
53	53	test_list = create_image_list(TEST_PATH)	test_list = create_image_list(TEST_PATH)
54	54
55	55	# create data loader	# create data loader
56		train_loader, val_loader, test_loader = get_dataloader(train_list, None, test_list, dataset_name=dataset_name, batch_size=args.batch_size)
	56		train_loader, val_loader, test_loader = get_dataloader(train_list,
	57		None,
	58		test_list,
	59		dataset_name=dataset_name,
	60		batch_size=args.batch_size,
	61		visualize_mode=args.no_norm)
57	62
58	63	print("len train_loader ", len(train_loader))	print("len train_loader ", len(train_loader))
59	64

File train_script/CCNN/ccnn_v2_t10_sha.sh added (mode: 100644) (index 0000000..bcc1044)
	1	CUDA_VISIBLE_DEVICES=6 HTTPS_PROXY="http://10.60.28.99:86" nohup python train_compact_cnn.py \
	2	--task_id ccnn_v2_t10_sha \
	3	--note "ccnnv2 keep full, try no_norm to see how it work, with e-5 lr" \
	4	--input /data/rnd/thient/thient_data/ShanghaiTech/part_A \
	5	--no_norm \
	6	--lr 1e-5 \
	7	--decay 1e-5 \
	8	--datasetname shanghaitech_keepfull \
	9	--epochs 1500 > logs/ccnn_v2_t10_sha.log &

File train_script/CCNN/ccnn_v2_t9_sha.sh added (mode: 100644) (index 0000000..5e7b8b5)
	1	CUDA_VISIBLE_DEVICES=5 HTTPS_PROXY="http://10.60.28.99:86" nohup python train_compact_cnn.py \
	2	--task_id ccnn_v2_t9_sha \
	3	--note "ccnnv2 keep full, try no_norm to see how it work" \
	4	--input /data/rnd/thient/thient_data/ShanghaiTech/part_A \
	5	--no_norm \
	6	--lr 1e-4 \
	7	--decay 1e-4 \
	8	--datasetname shanghaitech_keepfull \
	9	--epochs 1500 > logs/ccnn_v2_t9_sha.log &

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