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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 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
evaluation_shb_CompactCNNV7i_t1	28cf202a306b775967c6e466120b019ae1eb6a4d	Thai Thien	2020-08-23 07:49:51
evaluation shb	44f3dfdc9e3ad2787cc5286a64f1b28363796b19	Thai Thien	2020-08-23 07:32:50
performance_shb_CompactCNNV7i_t1	2698927959f377bb8308e54aebf029d8a18abf39	Thai Thien	2020-08-14 16:47:58
t7 test size 1 again	06fd0b91bf3c4c7d7713972f91c75ad33e0f25e7	Thai Thien	2020-08-14 16:38:33
t6 pin mem	c573feae8f739502b53497c3482dae7a5c55aff7	Thai Thien	2020-08-14 16:35:19
testsize 20	77b4d29cbc8305943c2ec025d60b3937e1686d33	Thai Thien	2020-08-14 16:31:53
t4 increase core	80bcac87ccb6b10ce6e438fcce2f52e52fe1600a	Thai Thien	2020-08-14 16:30:02
t3	eb03a48f24f38a078e8a77ba7a25fc647ecb642d	Thai Thien	2020-08-14 16:27:21
eval and no grad	c6d1e1fdeb6c7ebcc5318139ef22abb53b14e34e	Thai Thien	2020-08-14 16:25:11
add .eval	39eb204dad16326327bca58f30c53097166a26b4	Thai Thien	2020-08-14 16:22:20
performance_shb_BigTail13i_t1	d2722882bde6cb81dfd4d2b00731a7f5caab4355	Thai Thien	2020-08-14 16:15:48

Commit 245396d814f5d83dff1fd1ecc9fcd403be1805cb - fix file, mae, mse
Author: Thai Thien
Author date (UTC): 2020-08-23 08:52
Committer name: Thai Thien
Committer date (UTC): 2020-08-23 08:52
Parent(s): caeb9f9608e91cf6a1323d9ae9f4fb215c4dd6ea
Signer:
Signing key:
Signing status: N
Tree: 0c7105eb93934fc2e3185965192815e9e96d4f0d

File	Lines added	Lines deleted
debug/evaluate_shb.py	15	2

File debug/evaluate_shb.py changed (mode: 100644) (index 5a731e0..3539281)
...	...	from data_util import ShanghaiTechDataPath
27	27	import argparse	import argparse
28	28	import cv2	import cv2
29	29	import numpy as np	import numpy as np
	30		import math
30	31	from data_flow import get_train_val_list, get_dataloader, create_training_image_list	from data_flow import get_train_val_list, get_dataloader, create_training_image_list
31	32	"""	"""
32	33	This file evaluation on SHB and get information on evaluation process	This file evaluation on SHB and get information on evaluation process

...	...	def visualize_evaluation_shanghaitech_keepfull(model, args):
56	57	debug=True)	debug=True)
57	58
58	59	log_f = open(args.meta_data, "w")	log_f = open(args.meta_data, "w")
	60		mae_s = 0
	61		mse_s = 0
	62		n = 0
59	63	with torch.no_grad():	with torch.no_grad():
60	64	for item in test_loader:	for item in test_loader:
61	65	img, gt_density, debug_info = item	img, gt_density, debug_info = item

...	...	def visualize_evaluation_shanghaitech_keepfull(model, args):
75	79	print("shape compare " + str(predicted_density_map.shape) + " " + str(predicted_density_map_enlarge.shape))	print("shape compare " + str(predicted_density_map.shape) + " " + str(predicted_density_map_enlarge.shape))
76	80	density_map_count = gt_density.detach().sum()	density_map_count = gt_density.detach().sum()
77	81	pred_count = pred.detach().cpu().sum()	pred_count = pred.detach().cpu().sum()
78		log_str = str(file_name) + " " + str(density_map_count.item()) + " " + str(gt_count.item()) + str(pred_count.item())
	82		density_map_count_num = density_map_count.item()
	83		gt_count_num = gt_count.item()
	84		pred_count_num = pred_count.item()
	85		error = abs(pred_count_num-gt_count_num)
	86		mae_s += error
	87		mse_s += error*error
	88		log_str = str(file_name_only) + " " + str(density_map_count_num) + " " + str(gt_count.item()) + str(pred_count.item())
79	89	print(log_str)	print(log_str)
80	90	log_f.write(log_str+"\n")	log_f.write(log_str+"\n")
81	91	log_f.close()	log_f.close()
82
	92		mae = mae_s / n
	93		mse = math.sqrt(mse_s / n)
	94		print("mae ", mae)
	95		print("mse", mse)
83	96
84	97
85	98	if __name__ == "__main__":	if __name__ == "__main__":

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