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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)
refactor and test ShanghaiTech datapath	9542ebc00f257edc38690180b7a4353794be4019	Thai Thien	2020-02-01 03:53:49
fix the unzip flow	b53c5989935335377eb6a88c942713d3eccc5df7	Thai Thien	2020-02-01 03:53:13
data_script run seem ok	67420c08fc1c10a66404d3698994865726a106cd	Thai Thien	2020-02-01 03:33:18
add perspective	642d6fff8c9f31e510fda85a7fb631fb855d8a6d	Thai Thien	2019-10-06 16:54:44
fix padding with p	86c2fa07822d956a34b3b37e14da485a4249f01b	Thai Thien	2019-10-06 02:52:58
pacnn perspective loss	fb673e38a5f24ae9004fe2b7b93c88991e0c2304	Thai Thien	2019-10-06 01:38:28
data_flow shanghaitech_pacnn_with_perspective seem working	91d350a06f358e03223966297d124daee94123d0	Thai Thien	2019-10-06 01:31:11
multiscale loss and final loss only mode	c65dd0e74ad28503821e5c8651a3b47b4a0c7c64	Thai Thien	2019-10-05 15:58:19
wip : perspective map	eac63f2671dc5b064753acc4f40bf0f9f216ad2a	Thai Thien	2019-10-04 16:26:56
shell script	f2106e700b6f6174d4dd276f25ec6f3d9ff239bb	thient	2019-10-04 07:42:51
WIP	42c7c8e1d772fbbda61a4bdf9e329f74e1efb600	tthien	2019-10-03 17:52:47
add readme	580cf43d1edddd67b1f6a2c57fdd5cee3dba925c	Thai Thien	2019-10-02 17:44:49
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

Commit 9542ebc00f257edc38690180b7a4353794be4019 - refactor and test ShanghaiTech datapath
Author: Thai Thien
Author date (UTC): 2020-02-01 03:53
Committer name: Thai Thien
Committer date (UTC): 2020-02-01 03:53
Parent(s): b53c5989935335377eb6a88c942713d3eccc5df7
Signing key:
Tree: 5dcc9eac13c3b41be3895f4dc4f189d9ea07a1a1

File	Lines added	Lines deleted
hard_code_variable.py	40	1
visualize_data_loader.py	1	1

File hard_code_variable.py changed (mode: 100644) (index b844ba1..b212186)
	1		import os
	2		import glob
	3
	4
1	5	class HardCodeVariable():	class HardCodeVariable():
2	6	"""	"""
3	7	Where did you put your data ?	Where did you put your data ?

...	...	class HardCodeVariable():
5	9	"""	"""
6	10	def __init__(self):	def __init__(self):
7	11	self.UCF_CC_50_PATH = "/data/cv_data/UCFCrowdCountingDataset_CVPR13_with_people_density_map/UCF_CC_50"	self.UCF_CC_50_PATH = "/data/cv_data/UCFCrowdCountingDataset_CVPR13_with_people_density_map/UCF_CC_50"
8		self.SHANGHAITECH_PATH = "/data/ShanghaiTech/part_A/train_data"
	12		self.SHANGHAITECH_PATH = "/data/ShanghaiTech"
	13		self.SHANGHAITECH_PATH_PART_A = "/data/ShanghaiTech/part_A/"
	14		self.SHANGHAITECH_PATH_PART_B = "/data/ShanghaiTech/part_B/"
	15		self.SHANGHAITECH_PATH_TRAIN_POSTFIX = "train_data"
	16		self.SHANGHAITECH_PATH_TEST_POSTFIX = "test_data"
	17
	18
	19		if __name__ == "__main__":
	20		"""
	21		Test if path is working
	22		"""
	23		hard_code =HardCodeVariable()
	24		if os.path.exists(hard_code.SHANGHAITECH_PATH):
	25		print("exist " + hard_code.SHANGHAITECH_PATH)
	26		print("let see if we have train, test folder")
	27		train_path_a = os.path.join(hard_code.SHANGHAITECH_PATH_PART_A, hard_code.SHANGHAITECH_PATH_TRAIN_POSTFIX)
	28		train_path_b = os.path.join(hard_code.SHANGHAITECH_PATH_PART_B, hard_code.SHANGHAITECH_PATH_TRAIN_POSTFIX)
	29		test_path_a = os.path.join(hard_code.SHANGHAITECH_PATH_PART_A, hard_code.SHANGHAITECH_PATH_TEST_POSTFIX)
	30		test_path_b = os.path.join(hard_code.SHANGHAITECH_PATH_PART_B, hard_code.SHANGHAITECH_PATH_TEST_POSTFIX)
	31		if os.path.exists(train_path_a):
	32		print("exist " + train_path_a)
	33		if os.path.exists(train_path_b):
	34		print("exist " + train_path_b)
	35		if os.path.exists(test_path_a):
	36		print("exist " + test_path_a)
	37		if os.path.exists(test_path_b):
	38		print("exist " + test_path_b)
	39		print("count number of image")
	40		image_folder_list = [train_path_a, train_path_b, test_path_a, test_path_b]
	41		for image_root_path in image_folder_list:
	42		image_path_list = glob.glob(os.path.join(image_root_path, "images", "*.jpg"))
	43		count_img = len(image_path_list)
	44		first_img = image_path_list[0]
	45		print("in folder " + image_root_path)
	46		print("--- there are total " + str(count_img))
	47		print('--- first img ' + first_img)

File visualize_data_loader.py changed (mode: 100644) (index b6d376e..90d8de0)
...	...	def visualize_shanghaitech_pacnn_with_perspective():
53	53	HARD_CODE = HardCodeVariable()	HARD_CODE = HardCodeVariable()
54	54	saved_folder = "visualize/test_dataloader"	saved_folder = "visualize/test_dataloader"
55	55	os.makedirs(saved_folder, exist_ok=True)	os.makedirs(saved_folder, exist_ok=True)
56		DATA_PATH = HARD_CODE.SHANGHAITECH_PATH
	56		DATA_PATH = HARD_CODE.SHANGHAITECH_PATH_PART_A
57	57	train_list, val_list = get_train_val_list(DATA_PATH, test_size=0.2)	train_list, val_list = get_train_val_list(DATA_PATH, test_size=0.2)
58	58	test_list = None	test_list = None
59	59

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