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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)
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
no more eval, only one in function	316b330c481224bb4264ddebb3dda2e317c32ac1	Thai Thien	2020-08-23 15:34:21
None type eval	15a12c6dd1a6f828f5e852faecaf2a812dfddce8	Thai Thien	2020-08-23 15:30:17
run experiment on shb truncate 4	3faae2b49ed074fdb96fc20e916fee9eeac4f92f	Thai Thien	2020-08-23 15:20:23
evaluatuion shb	b80eac051649c36ea1631cc4701e6d1d587d7887	Thai Thien	2020-08-23 09:26:45
fix evaluation shb	51cbe92724973f64cb046f7f49fb1976400827e4	Thai Thien	2020-08-23 09:18:35
typo	1cba17e02cc79ee73c4ad5c9f1faab4913f92b01	Thai Thien	2020-08-23 08:53:21
fix file, mae, mse	245396d814f5d83dff1fd1ecc9fcd403be1805cb	Thai Thien	2020-08-23 08:52:16
file name strage stuff	caeb9f9608e91cf6a1323d9ae9f4fb215c4dd6ea	Thai Thien	2020-08-23 08:44:54
TypeError: can only concatenate str (not "list") to str	e8aebcfb782966c11c3ca116b5a9cc254021a73d	Thai Thien	2020-08-23 08:41:02
key error	5732100d6aca8e3fea6a4d25270edefbc8148a2a	Thai Thien	2020-08-23 08:39:09
fix target	fdbda2c6923dd164560448a445cd64ff413fc804	Thai Thien	2020-08-23 08:37:48
test path	06d268f873e6ceea93a8e8741d819a03b324cedb	Thai Thien	2020-08-23 08:27:38
a	1d73d926894edbc600db678316b9b24a583c4cb8	Thai Thien	2020-08-23 08:25:58
test set	bb1e40fc7806c8bef5e94fbaa54ac9af3b599041	Thai Thien	2020-08-23 08:23:30

Commit cbfc478aaf7db3accb41a763b0818910999d25a5 - train_dev_test
Author: Thai Thien
Author date (UTC): 2020-09-06 17:29
Committer name: Thai Thien
Committer date (UTC): 2020-09-06 17:29
Parent(s): c44af597b7adf98ecaf3a71e565de8688f7ff6ba
Signer:
Signing key:
Signing status: N
Tree: 8103984314160e7578fcd804eed849c591b16134

File	Lines added	Lines deleted
dataset_script/jhucrowd_density_map.py	24	4
dataset_script/jhucrowd_test.sh	4	0
dataset_script/jhucrowd_train.sh	4	0
dataset_script/jhucrowd_val.sh	4	0

File dataset_script/jhucrowd_density_map.py changed (mode: 100644) (index a6b63ef..1330a57)
...	...	import scipy.ndimage
7	7	from PIL import Image	from PIL import Image
8	8	import h5py	import h5py
9	9	from visualize_util import save_density_map	from visualize_util import save_density_map
	10		import argparse
	11		import time
10	12
11	13	def load_density_label(label_txt_path):	def load_density_label(label_txt_path):
12	14	"""	"""

...	...	def full_flow_jhucrowd(root_path):
109	111	density_path_folder = os.path.join(ROOT, "ground-truth-h5")	density_path_folder = os.path.join(ROOT, "ground-truth-h5")
110	112	img_list = os.listdir(path=images_folder)	img_list = os.listdir(path=images_folder)
111	113	os.makedirs(density_path_folder, exist_ok=True)	os.makedirs(density_path_folder, exist_ok=True)
112		for img_name in img_list[:3]:
	114		for img_name in img_list:
113	115	name = img_name.split(".")[0]	name = img_name.split(".")[0]
114	116	density_name = name + ".h5"	density_name = name + ".h5"
115	117	gt_name = name + ".txt"	gt_name = name + ".txt"

...	...	def full_flow_jhucrowd(root_path):
121	123	print("done")	print("done")
122	124
123	125
	126		def args_parser():
	127		"""
	128		this is not dummy
	129		if you are going to make all-in-one notebook, ignore this
	130		:return:
	131		"""
	132		parser = argparse.ArgumentParser(description='jhucrowd')
	133		parser.add_argument("--task_id", action="store", default="dev")
	134		parser.add_argument('--input', action="store", type=str)
	135		arg = parser.parse_args()
	136		return arg
	137
	138
124	139	if __name__ == "__main__":	if __name__ == "__main__":
	140		start_time = time.time()
	141		args = args_parser()
	142		print("input ", args.input)
	143		full_flow_jhucrowd(args.input)
125	144	# full_flow_jhucrowd("/data/jhu_crowd_v2.0/val")	# full_flow_jhucrowd("/data/jhu_crowd_v2.0/val")
126	145	# t_count("/data/jhu_crowd_v2.0/val/unittest/0003.h5", "/data/jhu_crowd_v2.0/val/gt/0003.txt")	# t_count("/data/jhu_crowd_v2.0/val/unittest/0003.h5", "/data/jhu_crowd_v2.0/val/gt/0003.txt")
127	146	# t_single_density_map()	# t_single_density_map()
128	147
129		t_print_density_map("/data/jhu_crowd_v2.0/val/ground-truth-h5/3556.h5", "/data/jhu_crowd_v2.0/val/ground-truth-h5/3556.png")
130		t_print_density_map("/data/jhu_crowd_v2.0/val/ground-truth-h5/1632.h5",
131		"/data/jhu_crowd_v2.0/val/ground-truth-h5/1632.png")
	148		# t_print_density_map("/data/jhu_crowd_v2.0/val/ground-truth-h5/3556.h5", "/data/jhu_crowd_v2.0/val/ground-truth-h5/3556.png")
	149		# t_print_density_map("/data/jhu_crowd_v2.0/val/ground-truth-h5/1632.h5",
	150		# "/data/jhu_crowd_v2.0/val/ground-truth-h5/1632.png")
132	151
133	152	# ROOT = "/data/jhu_crowd_v2.0/val"	# ROOT = "/data/jhu_crowd_v2.0/val"
134	153	# images_folder = os.path.join(ROOT, "images")	# images_folder = os.path.join(ROOT, "images")
135	154	# gt_path_folder = os.path.join(ROOT, "gt")	# gt_path_folder = os.path.join(ROOT, "gt")
	155		print("--- %s seconds ---" % (time.time() - start_time))
136	156

File dataset_script/jhucrowd_test.sh added (mode: 100644) (index 0000000..6118387)
	1	nohup python dataset_script/jhucrowd_density_map.py \
	2	--task_id test \
	3	--input /data/rnd/thient/thient_data/jhu_crowd_plusplus/test \
	4	> logs/jhucrowd_density_map_test.log &

File dataset_script/jhucrowd_train.sh added (mode: 100644) (index 0000000..7a7c08a)
	1	nohup python dataset_script/jhucrowd_density_map.py \
	2	--task_id train \
	3	--input /data/rnd/thient/thient_data/jhu_crowd_plusplus/train \
	4	> logs/jhucrowd_density_map_train.log &

File dataset_script/jhucrowd_val.sh added (mode: 100644) (index 0000000..13ee520)
	1	nohup python dataset_script/jhucrowd_density_map.py \
	2	--task_id val \
	3	--input /data/rnd/thient/thient_data/jhu_crowd_plusplus/val \
	4	> logs/jhucrowd_density_map_val.log &

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