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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)
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
input d1,d2,d3 match	fc2a809241f8b6356d964c63d40cbebd55ca5f6c	Thai Thien	2019-08-28 17:57:05
WIP	39eab26d061e61dfffbf164dbd5fd878299b7250	thient	2019-08-28 11:09:12
output of de is ok	dd770386674df3e0fbebafdfc48a9352bc28967d	thient	2019-08-28 10:54:09
code pacnn	c49537b5cc91e96e4e35c9338d2c95b9bb41c672	Thai Thien	2019-08-27 16:35:27

Commit 453ece3ccb818889ba895bfc4285f7905d33cba5 - fix pacnn perspective map
Author: Thai Thien
Author date (UTC): 2019-09-25 17:20
Committer name: Thai Thien
Committer date (UTC): 2019-09-25 17:20
Parent(s): da8c0dd57297f972201f31d57e66897177922f48
Signing key:
Tree: 63d1ca896becc4f6870c964f896ad56e9a807890

File	Lines added	Lines deleted
main_pacnn.py	4	3
models/pacnn.py	21	2
models/test_PACNNWithPerspectiveMap.py	8	0

File main_pacnn.py changed (mode: 100644) (index 1078b73..43b6c3d)
...	...	if __name__ == "__main__":
28	28	MODEL_SAVE_NAME = "dev5"	MODEL_SAVE_NAME = "dev5"
29	29	# Add the following code anywhere in your machine learning file	# Add the following code anywhere in your machine learning file
30	30	experiment = Experiment(api_key="S3mM1eMq6NumMxk2QJAXASkUM",	experiment = Experiment(api_key="S3mM1eMq6NumMxk2QJAXASkUM",
31		project_name="pacnn-dev", workspace="ttpro1995")
	31		project_name="pacnn-dev2", workspace="ttpro1995")
32	32	experiment.set_name(MODEL_SAVE_NAME)	experiment.set_name(MODEL_SAVE_NAME)
33
	33		experiment.log_parameter("PACNN_PERSPECTIVE_AWARE_MODEL", True)
	34		experiment.log_parameter("desc", "test pacnn with perspective aware")
34	35	device = torch.device("cuda" if torch.cuda.is_available() else "cpu")	device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
35	36
36	37	# device = "cpu"	# device = "cpu"

...	...	if __name__ == "__main__":
39	40	print(args)	print(args)
40	41	DATA_PATH = args.input	DATA_PATH = args.input
41	42	DATASET_NAME = "shanghaitech"	DATASET_NAME = "shanghaitech"
42		PACNN_PERSPECTIVE_AWARE_MODEL = False
	43		PACNN_PERSPECTIVE_AWARE_MODEL = True
43	44
44	45
45	46

File models/pacnn.py changed (mode: 100644) (index 46f1e5d..0336b5c)
...	...	class PACNNWithPerspectiveMap(nn.Module):
72	72	if self.perspective_aware_mode:	if self.perspective_aware_mode:
73	73	pespective_w_s = self.perspective_11(self.perspective_net(x))	pespective_w_s = self.perspective_11(self.perspective_net(x))
74	74	pespective_w = self.up_perspective(pespective_w_s)	pespective_w = self.up_perspective(pespective_w_s)
	75
	76
75	77	# TODO: code more here	# TODO: code more here
76		de23 = pespective_w_s * de2 + (1 - pespective_w_s)*(de2 + self.up23(de3))
77		de = pespective_w * de1 + (1 - pespective_w)*(de1 + self.up12(de23))
	78		upde3 = self.up23(de3)
	79		pad_3_0 = de2.size()[2] - upde3.size()[2]
	80		pad_3_1 = de2.size()[3] - upde3.size()[3]
	81		upde3pad = F.pad(upde3, (0, pad_3_1, 0, pad_3_0), value=0)
	82		de23_a = pespective_w_s * de2
	83		de23_b = (1 - pespective_w_s)*(de2 + upde3pad)
	84		de23 = de23_a + de23_b
	85
	86		upde23 = self.up12(de23)
	87		pad_23_0 = de1.size()[2] - upde23.size()[2]
	88		pad_23_1 = de1.size()[3] - upde23.size()[3]
	89		upde23pad = F.pad(upde23, (0, pad_23_1, 0, pad_23_0), value=0)
	90
	91		pad_perspective_0 = de1.size()[2] - pespective_w.size()[2]
	92		pad_perspective_1 = de1.size()[3] - pespective_w.size()[3]
	93		pespective_w_pad = F.pad(pespective_w, (0, pad_perspective_1, 0, pad_perspective_0), value=0)
	94		de_a = pespective_w_pad * de1
	95		de_b = (1 - pespective_w_pad)*(de1 + upde23pad)
	96		de = de_a + de_b
78	97	else:	else:
79	98	#try:	#try:
80	99	pespective_w_s = None	pespective_w_s = None

File models/test_PACNNWithPerspectiveMap.py changed (mode: 100644) (index af8340f..a6b4678)
...	...	class TestPACNNWithPerspectiveMap(TestCase):
42	42	image = torch.rand(1, 3, 224, 224)	image = torch.rand(1, 3, 224, 224)
43	43	_, _, _, _, _, density_map = net(image)	_, _, _, _, _, density_map = net(image)
44	44	print(density_map.size())	print(density_map.size())
	45
	46		def test_perspective_aware_schema_pacnn_pad(self):
	47		net = PACNNWithPerspectiveMap(perspective_aware_mode=True)
	48		# image
	49		# batch size, channel, h, w
	50		image = torch.rand(1, 3, 330, 512)
	51		_, _, _, _, _, density_map = net(image)
	52		print(density_map.size())

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