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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 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
crowd counting stuff	da9f27a39cba9bdd021b6b5c562f5f7c2be50190	Thai Thien	2019-08-24 18:27:44
seem ok	53fa176c31669a0e89b04adf290cb398f0316c45	Thai Thien	2019-08-24 18:26:31
flow ok	ad849681000818dfbcd0c1715c2858aed7236041	Thai Thien	2019-08-24 17:00:02
wip	23c3ec48497782bbc91d829e1c8a682502360ab9	Thai Thien	2019-08-24 14:19:22

Commit c2140a96886195782e5689c24aeeb4fe7a2db7ad - fix pacnn avg schema
Author: Thai Thien
Author date (UTC): 2019-09-22 17:35
Committer name: Thai Thien
Committer date (UTC): 2019-09-22 17:35
Parent(s): a568fd7f294a8bd31b3db78437b4b6b51b5b41b9
Signing key:
Tree: c4b7a724ad85384a8b55e5ad6d3a1d1464a12ee2

File	Lines added	Lines deleted
main_pacnn.py	5	3
models/pacnn.py	13	2
models/playground.py	2	2

File main_pacnn.py changed (mode: 100644) (index 449320c..9024f16)
...	...	if __name__ == "__main__":
126	126
127	127	# evaluate	# evaluate
128	128
129		best_checkpoint = torch.load("test2checkpoint.pth.tar")
130		net = PACNN().to(device)
	129
	130		net = PACNNWithPerspectiveMap(PACNN_PERSPECTIVE_AWARE_MODEL).to(device)
131	131	print(net)	print(net)
132		net.load_state_dict(best_checkpoint['state_dict'])
	132
	133		# best_checkpoint = torch.load("test2checkpoint.pth.tar")
	134		# net.load_state_dict(best_checkpoint['state_dict'])
133	135
134	136	# device = "cpu"	# device = "cpu"
135	137	mae_calculator_d1 = MAECalculator()	mae_calculator_d1 = MAECalculator()

File models/pacnn.py changed (mode: 100644) (index 9e7203e..46f1e5d)
1	1	import torch.nn as nn	import torch.nn as nn
2	2	import torch	import torch
	3		import torch.nn.functional as F
3	4
4	5	from torchvision import models	from torchvision import models
5	6	import numpy as np	import numpy as np

...	...	class PACNNWithPerspectiveMap(nn.Module):
78	79	#try:	#try:
79	80	pespective_w_s = None	pespective_w_s = None
80	81	pespective_w = None	pespective_w = None
81		de23 = (de2 + self.up23(de3))/2
82		de = (de1 + self.up12(de23))/2
	82		upde3 = self.up23(de3)
	83		pad_3_0 = de2.size()[2] - upde3.size()[2]
	84		pad_3_1 = de2.size()[3] - upde3.size()[3]
	85		upde3pad = F.pad(upde3,(0, pad_3_1, 0, pad_3_0), value=0)
	86		de23 = (de2 + upde3pad)/2
	87
	88		upde23 = self.up12(de23)
	89		pad_23_0 = de1.size()[2] - upde23.size()[2]
	90		pad_23_1 = de1.size()[3] - upde23.size()[3]
	91		upde23pad = F.pad(upde23, (0, pad_23_1, 0, pad_23_0), value=0)
	92
	93		de = (de1 + upde23pad)/2
83	94	# except Exception as e:	# except Exception as e:
84	95	# print("EXECEPTION ", e)	# print("EXECEPTION ", e)
85	96	# print(x.size())	# print(x.size())

File models/playground.py changed (mode: 100644) (index 4aa73cd..b41458f)
...	...	class M0(nn.Module):
25	25	return d	return d
26	26
27	27	def deconvolutuion():	def deconvolutuion():
28		transpose = nn.ConvTranspose2d(3, 1, 2, 2)
29		in_tensor = torch.rand((1, 3, 224, 224))
	28		transpose = nn.ConvTranspose2d(3, 1, 1, 2, output_padding=1)
	29		in_tensor = torch.rand((1, 3, 40, 40))
30	30	out = transpose(in_tensor)	out = transpose(in_tensor)
31	31	print(out.size())	print(out.size())
32	32

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