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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 load model stuff	8c5c9c985fb747dc6392c86aa5f49282f8d12297	Thai Thien	2020-12-18 15:44:21
import comet first	dd4426221a95d0916c8cc7c02c7587ada1d910b5	Thai Thien	2020-12-18 15:41:59
predict on frame from video	ec39a97372a15ad75811fdb3417d2e48078a30b2	Thai Thien	2020-12-18 15:40:36
fix normalize in data loader	56a64c14dc62c96aba532d233ff2782414738d05	Thai Thien	2020-12-17 15:36:22
change gpu 5	46d32b3fc05909b61f56389b01c2e50e52937d9b	Thai Thien	2020-12-16 16:40:47
eval_dccnn_bike_video_VID_20201204_133931_404_model_adamw1_bigtail13i_t4_bike20	95bb636a0b544b7a72fc4c65acb47472da468766	Thai Thien	2020-12-16 16:35:14
eval_dccnn_bike_video_VID_20201204_133931_404_model_adamw1_bigtail13i_t3_bike20	27740a0e21ca42490f5cfe516b2453f7be3a2483	Thai Thien	2020-12-16 16:17:12
batch 2	85433ffd51070572d7e743a2b4ef53f340b658d4	Thai Thien	2020-12-15 16:57:56
reduce batch size 3	d2f145009c06f5e6e6e1e0270878ae275b611c2f	Thai Thien	2020-12-15 16:55:46
t3 and t4	70e09414713ea22800d8e87a0dd984f18406c375	Thai Thien	2020-12-15 16:50:32
prepare bike 20s q100	556a4d8f695ca154a5db42b363a276d7ab233434	Thai Thien	2020-12-15 16:46:08
VID_20201204_133931_404	8264dcb4d5389ed8ef2920eb3419cfc505b6a09c	Thai Thien	2020-12-13 11:31:10
add VID_20201204_133931_404	a36ba35ca7c54dcf552d17a08fa8c87720ce1c69	Thai Thien	2020-12-13 11:30:24
print total length on console	6a956d93489926e99909d234bf4a7b13d39aad56	Thai Thien	2020-12-13 11:24:56
fix input of save_density_map	dc2f014fdd570909b811ac77629f0c8c0ca156da	Thai Thien	2020-12-13 11:21:37
detach cpu for save_density_map	f41362501a0bc3578de0a48e6cbe97966a66677c	Thai Thien	2020-12-13 11:19:45
predict_video_server pred.detach().cpu().numpy()	3c23cd51890f8b791be91ad8eb74bdba9ace905a	Thai Thien	2020-12-13 11:14:51
remove stuff	212a4a703ae301fb90a0f292d8ccf19a1026e071	Thai Thien	2020-12-13 11:10:28
lot of code	6b7a87a75171b0ec8ffe85960a38dd68e787e8f7	Thai Thien	2020-12-13 11:06:50
WIP	a6531891669668e489f67e90e862605ccb234911	Thai Thien	2020-12-12 16:02:50

Commit 8c5c9c985fb747dc6392c86aa5f49282f8d12297 - fix load model stuff
Author: Thai Thien
Author date (UTC): 2020-12-18 15:44
Committer name: Thai Thien
Committer date (UTC): 2020-12-18 15:44
Parent(s): dd4426221a95d0916c8cc7c02c7587ada1d910b5
Signing key:
Tree: e0170a0f35f1efd88b7910395aa0cc7cb09fd023

File	Lines added	Lines deleted
predict_image.py	3	2

File predict_image.py changed (mode: 100644) (index bcaae93..395955c)
...	...	import torch
4	4	from data_flow import get_predict_dataloader	from data_flow import get_predict_dataloader
5	5	from models.dccnn import DCCNN	from models.dccnn import DCCNN
6	6	from models.compact_cnn import CompactCNNV7	from models.compact_cnn import CompactCNNV7
	7		from models import create_model
7	8	from visualize_util import save_density_map_normalize, save_density_map	from visualize_util import save_density_map_normalize, save_density_map
8	9	from args_util import meow_parse	from args_util import meow_parse
9	10

...	...	if __name__ == "__main__":
40	41	NAME = args.task_id	NAME = args.task_id
41	42	INPUT_FOLDER = args.input	INPUT_FOLDER = args.input
42	43	OUTPUT_FOLDER = args.output	OUTPUT_FOLDER = args.output
43		MODEL = args.model
	44		MODEL = args.load_model
44	45	input_list = [os.path.join(INPUT_FOLDER, dir) for dir in os.listdir(INPUT_FOLDER)]	input_list = [os.path.join(INPUT_FOLDER, dir) for dir in os.listdir(INPUT_FOLDER)]
45	46	loader = get_predict_dataloader(input_list)	loader = get_predict_dataloader(input_list)
46	47	loaded_file = torch.load(MODEL)	loaded_file = torch.load(MODEL)
47		model = CompactCNNV7()
	48		model = create_model(model_name)
48	49	model.load_state_dict(loaded_file['model'])	model.load_state_dict(loaded_file['model'])
49	50	model.eval()	model.eval()
50	51	model = model.to(device)	model = model.to(device)

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