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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)
update script, debug	ddb68b95389be1c1d398118677dd227a8bb2b70b	Thai Thien	2019-10-02 15:52:31
add d (output density map) to loss function)	a0c71bf4bf2ab7393d60b06a84db8dfbbfb1a6c2	tthien	2019-09-30 16:32:39
fix the args, add save interval for model, so we don't save them all	9fdf9daa2ac4bd12b7b62521d81e520db0debd01	tthien	2019-09-30 16:30:00
meow	1ad19a22a310992e27a26471feeb37375124d075	tthien	2019-09-29 18:25:43
fix pacnn perspective map	453ece3ccb818889ba895bfc4285f7905d33cba5	Thai Thien	2019-09-25 17:20:33
apex not work so well	da8c0dd57297f972201f31d57e66897177922f48	Thai Thien	2019-09-24 17:25:59
fix data loader pacnn so it will scale up with correct number of people	11d55b50d764511f2491291f0208fee0905dec49	Thai Thien	2019-09-24 15:40:56
add comet ml	a9d4b89ce594f5e241168ccafdcdf0f150ea0ebb	Thai Thien	2019-09-23 17:07:58
fix pacnn avg schema	c2140a96886195782e5689c24aeeb4fe7a2db7ad	Thai Thien	2019-09-22 17:35:01
debug number not divisible by 8	a568fd7f294a8bd31b3db78437b4b6b51b5b41b9	Thai Thien	2019-09-22 04:36:06
pacnn	967074890d14ab0eefc277801860270a468e8f9f	Thai Thien	2019-09-22 03:54:48
wip: pacnn	2192d7c7b449fecf3868877d9cfbc09bb6f7ae98	Thai Thien	2019-09-22 03:44:56
wip: pacnn	37620e5a9bc0f9516ea964ec58d9bdaa1c40ff36	Thai Thien	2019-09-22 03:14:42
fix training flow	2b87b1b26c7296b64493fdc49fedb421b249dfa3	Thai Thien	2019-09-17 18:00:35
dataset script	bc5c052f5f956510ab95ef9a45434fd486c57fae	Thai Thien	2019-09-16 17:21:13
evaluator	ffc5bf8290ae0c469a9a18a2d061cfd1bfeee822	Thai Thien	2019-09-14 04:56:35
some more test for data loader	25173578cde7d4e9fe6c6140d1ee01caa4fcfc32	Thai Thien	2019-09-14 02:51:58
some visualize to debug data loader	e4f52007616acf307bddbde79c0fb4f8c649c785	Thai Thien	2019-09-13 17:35:45
wip	d7d44cad6774355bdfa45414258763f6c6a0c299	Thai Thien	2019-08-31 16:58:16
commit all	6dad7a58f7dbf9fc288ce9dd3e92be538851c2a7	Thai Thien	2019-08-29 19:10:44

Commit ddb68b95389be1c1d398118677dd227a8bb2b70b - update script, debug
Author: Thai Thien
Author date (UTC): 2019-10-02 15:52
Committer name: Thai Thien
Committer date (UTC): 2019-10-02 15:52
Parent(s): a0c71bf4bf2ab7393d60b06a84db8dfbbfb1a6c2
Signing key:
Tree: 38d5525d513bf8e34b00ea1e9c757301999c804e

File	Lines added	Lines deleted
args_util.py	2	1
main_pacnn.py	15	1
train_script/train_pacnn_shanghaitechA.sh	18	2

File args_util.py changed (mode: 100644) (index e7f4e6d..c9c322c)
...	...	def real_args_parse():
67	67	parser.add_argument('--model', action="store", default="pacnn")	parser.add_argument('--model', action="store", default="pacnn")
68	68
69	69	# args with default value	# args with default value
	70		parser.add_argument('--load_model', action="store", default="", type=str)
70	71	parser.add_argument('--lr', action="store", default=1e-8, type=float)	parser.add_argument('--lr', action="store", default=1e-8, type=float)
71		parser.add_argument('--momentum', action="store", default=0.95, type=float)
	72		parser.add_argument('--momentum', action="store", default=0.9, type=float)
72	73	parser.add_argument('--decay', action="store", default=5*1e-3, type=float)	parser.add_argument('--decay', action="store", default=5*1e-3, type=float)
73	74	parser.add_argument('--epochs', action="store", default=1, type=int)	parser.add_argument('--epochs', action="store", default=1, type=int)
74	75

File main_pacnn.py changed (mode: 100644) (index 9cfb5cc..24d3d1c)
...	...	if __name__ == "__main__":
32	32
33	33
34	34	MODEL_SAVE_NAME = args.task_id	MODEL_SAVE_NAME = args.task_id
35		MODEL_SAVE_INTERVAL = 10
	35		MODEL_SAVE_INTERVAL = 5
36	36	DATA_PATH = args.input	DATA_PATH = args.input
37	37	DATASET_NAME = "shanghaitech"	DATASET_NAME = "shanghaitech"
38	38	TOTAL_EPOCH = args.epochs	TOTAL_EPOCH = args.epochs

...	...	if __name__ == "__main__":
42	42	experiment.log_parameter("DATA_PATH", DATA_PATH)	experiment.log_parameter("DATA_PATH", DATA_PATH)
43	43	experiment.log_parameter("PACNN_PERSPECTIVE_AWARE_MODEL", PACNN_PERSPECTIVE_AWARE_MODEL)	experiment.log_parameter("PACNN_PERSPECTIVE_AWARE_MODEL", PACNN_PERSPECTIVE_AWARE_MODEL)
44	44	experiment.log_parameter("train", "train without p")	experiment.log_parameter("train", "train without p")
	45		experiment.log_parameter("momentum", args.momentum)
	46		experiment.log_parameter("lr", args.lr)
45	47
46	48	# create list	# create list
47	49	if DATASET_NAME is "shanghaitech":	if DATASET_NAME is "shanghaitech":

...	...	if __name__ == "__main__":
92	94
93	95	current_save_model_name = ""	current_save_model_name = ""
94	96	current_epoch = 0	current_epoch = 0
	97
	98		# load model
	99		load_model = args.load_model
	100		if len(load_model) > 0:
	101		checkpoint = torch.load(load_model)
	102		net.load_state_dict(checkpoint['model'])
	103		optimizer.load_state_dict(checkpoint['optimizer'])
	104		current_epoch = checkpoint['e']
	105		print("load ", load_model, " epoch ", str(current_epoch))
	106		else:
	107		print("new model")
	108
95	109	while current_epoch < TOTAL_EPOCH:	while current_epoch < TOTAL_EPOCH:
96	110	experiment.log_current_epoch(current_epoch)	experiment.log_current_epoch(current_epoch)
97	111	current_epoch += 1	current_epoch += 1

File train_script/train_pacnn_shanghaitechA.sh changed (mode: 100644) (index 448ea1a..b8ab1df)
1	1	#python /home/tt/project/crowd_counting_framework/main_pacnn.py --input /home/tt/project/crowd_counting_framework/data/ShanghaiTech/part_A	#python /home/tt/project/crowd_counting_framework/main_pacnn.py --input /home/tt/project/crowd_counting_framework/data/ShanghaiTech/part_A
2	2
	3		#python main_pacnn.py \
	4		#--input data/ShanghaiTech/part_A \
	5		#--epochs 151 \
	6		#--task_id train_state1_attemp1
	7
	8		#python main_pacnn.py \
	9		#--input data/ShanghaiTech/part_A \
	10		#--load_model saved_model/train_state1_attemp1_10_checkpoint.pth.tar \
	11		#--epochs 151 \
	12		#--lr 1e-6 \
	13		#--task_id train_state1_attemp3
	14
	15		# trained 30
	16
3	17	python main_pacnn.py \	python main_pacnn.py \
4	18	--input data/ShanghaiTech/part_A \	--input data/ShanghaiTech/part_A \
5		--epochs 20 \
6		--task_id train_1
	19		--load_model saved_model/train_state1_attemp3_30_checkpoint.pth.tar \
	20		--epochs 151 \
	21		--lr 1e-7 \
	22		--task_id train_state1_attemp4

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