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hahattpro / crowd_counting_framework (public) (License: Unspecified) (since 2020-12-23) (hash sha1)

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List of commits:

Subject	Hash	Author	Date (UTC)
data_flow fix load_data_shanghaitech_more_rnd	f593543b86fd2aba890dd3fc8d26121c3ba5d5e1	Thai Thien	2020-06-07 04:09:40
1e-4	88dcc2e1340f0cfc20b0dca73bc374d742278a5a	Thai Thien	2020-06-07 03:42:38
try to increase batch size and learning rate	55f5eedf8eea9b4df20b7f2107d9e4c89c3787bf	Thai Thien	2020-06-07 03:42:29
t9 gpu	99153ea3c20ef26c651004d083086e7ea2c9452e	Thai Thien	2020-06-06 18:08:00
t9	c4305310d8376b1814c1c1ed77fa46919f02a898	Thai Thien	2020-06-06 18:07:01
t7 t8	d62a031e9b4506f7d8173906615cc6f32d0b7a4c	Thai Thien	2020-06-06 18:06:13
_fixed	7c44ea2806c5b9e9b85cd496d2a3e400c437acd2	Thai Thien	2020-06-06 17:54:40
bigtail shb	6d7bcddf7613ab19c4022c533a9a6d8eb2cd4776	Thai Thien	2020-06-06 17:53:51
bigtail4 56	0a2cf847de58fc032ee966632af94cdef1f16245	Thai Thien	2020-06-05 09:36:40
bigtail 4 t3 t4	1dd1c61db8f34d6562909f9d37f0ca18fc91fa55	Thai Thien	2020-06-04 14:59:52
bigtal4	1a434051955cfaeda47780ab801924cfc9c22f94	Thai Thien	2020-06-02 18:00:43
l1 1e-4	2ea7293b60423704648df4a610a012f1da822ec9	Thai Thien	2020-05-29 16:38:44
fix log epoch	84e8beff8e305f81de7a05add2e58dcfe389ede5	Thai Thien	2020-05-29 16:38:31
skip evaluate on training set	a38d5731a9d6209bc98a9cca0ad023b4798c68d5	Thai Thien	2020-05-28 16:15:29
t7	ac1f0d71c2d3e0a01241622c639a9090a5b3c427	Thai Thien	2020-05-28 15:55:56
rename	4e9754c3dff98577616d3f043f7f260aeef40ac6	Thai Thien	2020-05-27 15:54:54
not use gpu2	8324400a3d65c58cfdd5a63b0a940217f3277769	Thai Thien	2020-05-27 15:54:11
remove call loss in eval	06f13484f24b85b12cab15e5af16db4d086db497	Thai Thien	2020-05-27 15:52:44
expermient, bug fix	e83e7e058b6f1d7ec1237677a2d4770f1f788ea0	Thai Thien	2020-05-27 15:43:58
surpress python warning	82806340334b3beb9916b34bb00a66381ce57aae	Thai Thien	2020-05-26 12:00:49

Commit f593543b86fd2aba890dd3fc8d26121c3ba5d5e1 - data_flow fix load_data_shanghaitech_more_rnd
Author: Thai Thien
Author date (UTC): 2020-06-07 04:09
Committer name: Thai Thien
Committer date (UTC): 2020-06-07 04:09
Parent(s): 88dcc2e1340f0cfc20b0dca73bc374d742278a5a
Signer:
Signing key:
Signing status: N
Tree: 7436ff29494261a982d002a703fe2ed28cbb4c09

File	Lines added	Lines deleted
data_flow.py	6	0
debug/__init__.py	0	0
debug/explore_shb.py	42	0

File data_flow.py changed (mode: 100644) (index c985103..f4bb8bc)
...	...	def load_data_shanghaitech_more_rnd(img_path, train=True):
188	188	target = np.fliplr(target)	target = np.fliplr(target)
189	189	img = img.transpose(Image.FLIP_LEFT_RIGHT)	img = img.transpose(Image.FLIP_LEFT_RIGHT)
190	190
	191		if not train:
	192		# get correct people head count from head annotation
	193		mat_path = img_path.replace('.jpg', '.mat').replace('images', 'ground-truth').replace('IMG', 'GT_IMG')
	194		gt_count = count_gt_annotation_sha(mat_path)
	195		return img, gt_count
	196
191	197	target1 = cv2.resize(target, (int(target.shape[1] / 8), int(target.shape[0] / 8)),	target1 = cv2.resize(target, (int(target.shape[1] / 8), int(target.shape[0] / 8)),
192	198	interpolation=cv2.INTER_CUBIC) * 64	interpolation=cv2.INTER_CUBIC) * 64
193	199	# target1 = target1.unsqueeze(0) # make dim (batch size, channel size, x, y) to make model output	# target1 = target1.unsqueeze(0) # make dim (batch size, channel size, x, y) to make model output

File debug/__init__.py copied from file models/meow_experiment/__init__.py (similarity 100%)

File debug/explore_shb.py added (mode: 100644) (index 0000000..d6814c7)
	1	from args_util import meow_parse
	2	from data_flow import get_dataloader, create_image_list
	3	from ignite.engine import Events, create_supervised_trainer, create_supervised_evaluator
	4	from ignite.metrics import Loss
	5	from ignite.handlers import Checkpoint, DiskSaver, Timer
	6	from crowd_counting_error_metrics import CrowdCountingMeanAbsoluteError, CrowdCountingMeanSquaredError, CrowdCountingMeanAbsoluteErrorWithCount, CrowdCountingMeanSquaredErrorWithCount
	7	from visualize_util import get_readable_time
	8
	9	import torch
	10	from torch import nn
	11	from models.meow_experiment.kitten_meow_1 import M1, M2, M3, M4
	12	from models.meow_experiment.ccnn_tail import BigTailM1, BigTailM2, BigTail3, BigTail4
	13	from models.meow_experiment.ccnn_head import H1, H2
	14	from models.meow_experiment.kitten_meow_1 import H1_Bigtail3
	15	from models import CustomCNNv2, CompactCNNV7
	16	import os
	17	from model_util import get_lr, BestMetrics
	18	"""
	19	shanghaitech_more_random
	20	"""
	21
	22
	23	if __name__ == "__main__":
	24	DATA_PATH = "/data/ShanghaiTech_fixed_sigma/part_B/"
	25	TRAIN_PATH = os.path.join(DATA_PATH, "train_data_train_split")
	26	VAL_PATH = os.path.join(DATA_PATH, "train_data_validate_split")
	27	TEST_PATH = os.path.join(DATA_PATH, "test_data")
	28
	29	# create list
	30	train_list = create_image_list(TRAIN_PATH)
	31	val_list = create_image_list(VAL_PATH)
	32	test_list = create_image_list(TEST_PATH)
	33
	34	train_loader, train_loader_eval, val_loader, test_loader = get_dataloader(train_list, val_list, test_list,
	35	dataset_name="shanghaitech_more_random"
	36	, batch_size=20,
	37	train_loader_for_eval_check=True)
	38	print(len(train_loader))
	39	print(len(val_loader))
	40
	41	for data, label in val_loader:
	42	print(label)

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