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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)
bike train script	4e8aa6f80eb14a2ab29c672aa16d42e18cc03c5a	Thai Thien	2020-12-05 19:00:20
all the code on my bike	02268511c6fab77078bb5bd1bf597fd44345a3aa	Thai Thien	2020-12-05 18:32:14
generate density map from my bike ok	476fc0485ce3164d989f707629570f2f40be1750	Thai Thien	2020-12-05 09:04:46
higher lr	68236a00e3069e45f77320fc7452b7df5b8151fc	Thai Thien	2020-12-05 03:13:36
f	0d382a58494314e842b0712dbf55c55ec1de9579	Thai Thien	2020-12-05 02:51:55
batchnorm, relu	295df31d909172504eaa532537cc1bd72947cde5	Thai Thien	2020-12-05 02:36:19
adamw1_csrnet_t6_shb	1a47e9caf6cc2e0bc54f850c70822b4ae346af11	Thai Thien	2020-12-04 19:30:53
0	f2cd90cfaabcf72b80182cdef7650a2f39af3e76	Thai Thien	2020-12-04 18:57:54
adamw1_csrnet_t4_shb	79acbd4cd4db12dd97f0f142ccd169d03859ae8f	Thai Thien	2020-12-04 18:23:08
adamw1_csrnet_t3_shb	8fad28cb6682cfe8fe0dd428cef31a8fcb54f5c4	Thai Thien	2020-12-04 18:00:44
batch size 2	79067390f089a5bbec3d033bfc717249bc4d49d1	Thai Thien	2020-12-04 16:18:24
lower batchsize	e880bfb29d9e9b27c2b647333718043467f79386	Thai Thien	2020-12-04 16:15:30
csrnet	b96ea8c86b182d202f403c7ca5d2d031493da712	Thai Thien	2020-12-04 15:57:37
some demo and playground code	b1d48dd89f1bf3a30b82c51b25cdd68fb77f1023	Thai Thien	2020-12-04 15:53:19
some predict demo	7f2214ad2882874d5407a2d4d5bd115b7089a020	Thai Thien	2020-12-02 14:55:22
demo	3d5fa0d764843d4fd780e44547fd0b13a367c6bc	Thai Thien	2020-11-27 19:28:37
notable image	b0f2b0e9732c2f2031831eb80eeaf7e6dab1f5bd	Thai Thien	2020-11-22 07:11:16
notebook	5b8b840bc1fd0d806a13646477988534f4982fac	Thai Thien	2020-11-22 07:10:42
l2_adamw2_bigtail13i_t13_sha	7fd22510845dec808100058190a202b805bf6a02	Thai Thien	2020-09-23 14:17:00
l2_adamw2_bigtail13i_t12_sha	bf67476db55f55f348068bc7683f68834659cc96	Thai Thien	2020-09-23 14:14:35

Commit 4e8aa6f80eb14a2ab29c672aa16d42e18cc03c5a - bike train script
Author: Thai Thien
Author date (UTC): 2020-12-05 19:00
Committer name: Thai Thien
Committer date (UTC): 2020-12-05 19:00
Parent(s): 02268511c6fab77078bb5bd1bf597fd44345a3aa
Signer:
Signing key:
Signing status: N
Tree: 37d20a132b6f657c17a9998653bf1b400fceb273

File	Lines added	Lines deleted
experiment_main.py	1	0
train_script/learnstuff/b/adamw1_bigtail13i_t1_bike.sh	18	0
train_script/learnstuff/b/adamw1_bigtail13i_t2_bike.sh	18	0

File experiment_main.py changed (mode: 100644) (index 434dcc1..e0dd272)
...	...	if __name__ == "__main__":
149	149	sys.exit(-1)	sys.exit(-1)
150	150	n_param = very_simple_param_count(model)	n_param = very_simple_param_count(model)
151	151	experiment.log_other("n_param", n_param)	experiment.log_other("n_param", n_param)
	152		print("n_param", n_param)
152	153	if hasattr(model, 'model_note'):	if hasattr(model, 'model_note'):
153	154	experiment.log_other("model_note", model.model_note)	experiment.log_other("model_note", model.model_note)
154	155	model = model.to(device)	model = model.to(device)

File train_script/learnstuff/b/adamw1_bigtail13i_t1_bike.sh added (mode: 100644) (index 0000000..79dd4fa)
	1	task="adamw1_bigtail13i_t1_bike"
	2
	3	CUDA_VISIBLE_DEVICES=2 OMP_NUM_THREADS=2 PYTHONWARNINGS="ignore" HTTPS_PROXY="http://10.60.28.99:86" nohup python experiment_main.py \
	4	--task_id $task \
	5	--note "adamW default high lr" \
	6	--model "BigTail13i" \
	7	--input /data/rnd/thient/thient_data/mybikedata \
	8	--lr 1e-3 \
	9	--decay 0.1 \
	10	--loss_fn "MSEL1Mean" \
	11	--batch_size 5 \
	12	--load_model /data/rnd/thient/crowd_counting_framework/saved_model_best/adamw1_bigtail13i_t1_shb/adamw1_bigtail13i_t1_shb_checkpoint_valid_mae=-7.574910521507263.pth \
	13	--datasetname my_bike_non_overlap \
	14	--optim adamw \
	15	--cache \
	16	--epochs 600 > logs/$task.log &
	17
	18	echo logs/$task.log # for convenience

File train_script/learnstuff/b/adamw1_bigtail13i_t2_bike.sh added (mode: 100644) (index 0000000..ef637bb)
	1	task="adamw1_bigtail13i_t2_bike"
	2
	3	CUDA_VISIBLE_DEVICES=4 OMP_NUM_THREADS=2 PYTHONWARNINGS="ignore" HTTPS_PROXY="http://10.60.28.99:86" nohup python experiment_main.py \
	4	--task_id $task \
	5	--note "adamW default lower lr" \
	6	--model "BigTail13i" \
	7	--input /data/rnd/thient/thient_data/mybikedata \
	8	--lr 1e-4 \
	9	--decay 0.01 \
	10	--loss_fn "MSEL1Mean" \
	11	--batch_size 5 \
	12	--datasetname my_bike_non_overlap \
	13	--load_model /data/rnd/thient/crowd_counting_framework/saved_model_best/adamw1_bigtail13i_t1_shb/adamw1_bigtail13i_t1_shb_checkpoint_valid_mae=-7.574910521507263.pth \
	14	--optim adamw \
	15	--cache \
	16	--epochs 600 > logs/$task.log &
	17
	18	echo logs/$task.log # for convenience

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