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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

Clone URLs: https://rocketgit.com/user/hahattpro/crowd_counting_framework ssh://rocketgit@ssh.rocketgit.com/user/hahattpro/crowd_counting_framework git://git.rocketgit.com/user/hahattpro/crowd_counting_framework

List of commits:

Subject	Hash	Author	Date (UTC)
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
remove epoch stuff	2cc6434aa298b6da90b4577ce529f971119b86c7	Thai Thien	2020-08-23 07:53:36

Commit c44af597b7adf98ecaf3a71e565de8688f7ff6ba - seem working
Author: Thai Thien
Author date (UTC): 2020-09-06 15:55
Committer name: Thai Thien
Committer date (UTC): 2020-09-06 15:55
Parent(s): cee46d309e9bb91ac4185b0e1b74deddefbc8553
Signer:
Signing key:
Signing status: N
Tree: 74d60b58128228348a12c348e62514afe3d6745c

File	Lines added	Lines deleted
dataset_script/jhucrowd_density_map.py	38	2

File dataset_script/jhucrowd_density_map.py changed (mode: 100644) (index 1f75743..a6b63ef)
...	...	def t_single_density_map():
84	84	print(out)	print(out)
85	85
86	86
87		def print_density_map(density_path, density_img_out):
	87		def t_count(density_path, label_path):
	88		gt_file = h5py.File(density_path, 'r')
	89		target = np.asarray(gt_file['density'])
	90		density_count = target.sum()
	91		label_count = len(load_density_label(label_path))
	92		print("density count ", density_count)
	93		print("label count ", label_count)
	94		print("diff ", density_count - label_count)
	95		print("diff percentage ", (density_count - label_count)/ label_count * 100)
	96
	97
	98		def t_print_density_map(density_path, density_img_out):
88	99	gt_file = h5py.File(density_path, 'r')	gt_file = h5py.File(density_path, 'r')
89	100	target = np.asarray(gt_file['density'])	target = np.asarray(gt_file['density'])
90	101	save_density_map(target, density_img_out)	save_density_map(target, density_img_out)
91	102	print("done print ", density_img_out)	print("done print ", density_img_out)
92	103
	104
	105		def full_flow_jhucrowd(root_path):
	106		ROOT = root_path
	107		images_folder = os.path.join(ROOT, "images")
	108		gt_path_folder = os.path.join(ROOT, "gt")
	109		density_path_folder = os.path.join(ROOT, "ground-truth-h5")
	110		img_list = os.listdir(path=images_folder)
	111		os.makedirs(density_path_folder, exist_ok=True)
	112		for img_name in img_list[:3]:
	113		name = img_name.split(".")[0]
	114		density_name = name + ".h5"
	115		gt_name = name + ".txt"
	116		img_path = os.path.join(images_folder, img_name)
	117		gt_path = os.path.join(gt_path_folder, gt_name)
	118		density_path = os.path.join(density_path_folder, density_name)
	119		out = generate_density_map(img_path, gt_path, density_path)
	120		print(out)
	121		print("done")
	122
	123
93	124	if __name__ == "__main__":	if __name__ == "__main__":
	125		# full_flow_jhucrowd("/data/jhu_crowd_v2.0/val")
	126		# t_count("/data/jhu_crowd_v2.0/val/unittest/0003.h5", "/data/jhu_crowd_v2.0/val/gt/0003.txt")
94	127	# t_single_density_map()	# t_single_density_map()
95		print_density_map("/data/jhu_crowd_v2.0/val/unittest/0003.h5", "/data/jhu_crowd_v2.0/val/unittest/0003.png")
	128
	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")
96	132
97	133	# ROOT = "/data/jhu_crowd_v2.0/val"	# ROOT = "/data/jhu_crowd_v2.0/val"
98	134	# images_folder = os.path.join(ROOT, "images")	# images_folder = os.path.join(ROOT, "images")

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