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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)
l2_adamw2_bigtail11i_	4bc0b7938d27842c76fb9dd5fc68cc4eb66d9b73	Thai Thien	2020-08-09 13:57:45
c2	f74909d7d10e35b318fd64814304805055b7c927	Thai Thien	2020-08-09 04:12:17
l2_adamw2_bigtail11i_t2_sha	8fc53b3cdb1493b457b85f98797d183e9df8c93d	Thai Thien	2020-08-09 03:13:05
l2_adamw2_bigtail11i_t1_sha	5d240b5c9ea5dd91e149b1b7652e1077d1158e39	Thai Thien	2020-08-08 18:02:30
shanghaitech_keepfull_r50 l2_adamw2_bigtail13i_t6_sha	2253ce7c06882f44ed577a2df25a0b9325c476b4	Thai Thien	2020-08-08 17:57:24
l2_adamw2_bigtail13i_t5_sha	7df89278208a7d3d2117940c34c6528d38508708	Thai Thien	2020-08-08 17:42:11
lr scheduler	8de1b255ab35d2c7696fca89ea6208f6a80233da	Thai Thien	2020-08-08 16:02:42
add lr_scheduler	05704fd6f3f04bf0e41983142b3c48fec3a502ab	Thai Thien	2020-08-08 15:59:13
wd -5	768042c4ef103a94437bedca96979dce02a12c79	Thai Thien	2020-08-08 15:37:12
l2_adamw2_bigtail13i_t1_sha	3d87265cbd52127971615daf872b8467cb2baa08	Thai Thien	2020-08-08 15:02:36
let verify sha_1 to see how it is doing	88550cb75ac83c5443b0a5e5f805f0c6cc05cfde	Thai Thien	2020-08-08 09:59:21
logs with s again	8148d61da1c8eca9e4b3a4b24ddd6d44db069f0f	Thai Thien	2020-08-05 17:02:27
sh -> py	fd6e767e9ef404b41e50b7b99ca76806a65ff774	Thai Thien	2020-08-05 17:01:40
logs with "s"	59628c89e12c2c1a39f8ba97beb6cbe7e7e5c85a	Thai Thien	2020-08-05 17:00:31
verify sha	ed05894d30fa734b2d8c0ae2ee7b514018203fec	Thai Thien	2020-08-05 16:55:33
verify sha	bf499678228123ea3b2923a5927f066f336a77f8	Thai Thien	2020-08-05 16:28:30
eval_adamw1_bigtail13i_t1_shb_on_sha	6a4d823b75e3a90b452e528ef0e71b803666b161	Thai Thien	2020-08-04 17:34:33
add evaluation only	d86462407743bd2ac65c778aeb7e172faea806e1	Thai Thien	2020-08-04 17:26:45
s	d2c5d384ed61127c4fd3351692381b80a30c74aa	Thai Thien	2020-08-04 17:02:33
WIP	fce5736b0f6104fa3549884fbaa1f6508086af06	Thai Thien	2020-08-03 17:14:11

Commit 4bc0b7938d27842c76fb9dd5fc68cc4eb66d9b73 - l2_adamw2_bigtail11i_
Author: Thai Thien
Author date (UTC): 2020-08-09 13:57
Committer name: Thai Thien
Committer date (UTC): 2020-08-09 13:57
Parent(s): f74909d7d10e35b318fd64814304805055b7c927
Signer:
Signing key:
Signing status: N
Tree: bd0da3023e2e8922919ab3e2e3ae3422c4510088

File	Lines added	Lines deleted
train_script/learnstuff/l2/l2_adamw2_bigtail11i_t2_c1_sha.sh	5	7
train_script/learnstuff/l2/l2_adamw2_bigtail11i_t2_c2_sha.sh	19	0

File train_script/learnstuff/l2/l2_adamw2_bigtail11i_t2_c1_sha.sh copied from file train_script/learnstuff/l2/l2_adamw2_bigtail11i_t2_sha.sh (similarity 62%) (mode: 100644) (index 3d74925..ede1f21)
1		task="l2_adamw2_bigtail11i_t2_sha"
	1		task="l2_adamw2_bigtail11i_t2_c1_sha"
2	2
3	3	CUDA_VISIBLE_DEVICES=2 OMP_NUM_THREADS=2 PYTHONWARNINGS="ignore" HTTPS_PROXY="http://10.60.28.99:86" nohup python experiment_main.py \	CUDA_VISIBLE_DEVICES=2 OMP_NUM_THREADS=2 PYTHONWARNINGS="ignore" HTTPS_PROXY="http://10.60.28.99:86" nohup python experiment_main.py \
4	4	--task_id $task \	--task_id $task \
5		--note "11i no batchnorm keepfull with lr scheduler, starting -3" \
	5		--note "keepfull, lr to 5e-5" \
6	6	--model "BigTail11i" \	--model "BigTail11i" \
7	7	--input /data/rnd/thient/thient_data/ShanghaiTech/part_A \	--input /data/rnd/thient/thient_data/ShanghaiTech/part_A \
8		--lr 1e-3 \
9		--lr_scheduler \
10		--step_list 20,50,70,500,1000 \
11		--lr_list 1e-3,2e-4,1e-4,1e-4,1e-5 \
	8		--lr 5e-5 \
12	9	--decay 1e-5 \	--decay 1e-5 \
13	10	--loss_fn "MSEL1Mean" \	--loss_fn "MSEL1Mean" \
14	11	--datasetname shanghaitech_keepfull_r50 \	--datasetname shanghaitech_keepfull_r50 \
	12		--load_model saved_model_best/l2_adamw2_bigtail11i_t2_sha/l2_adamw2_bigtail11i_t2_sha_checkpoint_valid_mae=-112.82307936350504.pth \
15	13	--optim adamw \	--optim adamw \
16	14	--cache \	--cache \
17		--epochs 1201 > logs/$task.log &
	15		--epochs 2401 > logs/$task.log &
18	16
19	17	echo logs/$task.log # for convenience	echo logs/$task.log # for convenience
20	18

File train_script/learnstuff/l2/l2_adamw2_bigtail11i_t2_c2_sha.sh added (mode: 100644) (index 0000000..decb3b3)
	1	task="l2_adamw2_bigtail11i_t2_c2_sha"
	2
	3	CUDA_VISIBLE_DEVICES=3 OMP_NUM_THREADS=2 PYTHONWARNINGS="ignore" HTTPS_PROXY="http://10.60.28.99:86" nohup python experiment_main.py \
	4	--task_id $task \
	5	--note "keepfull, lr to 5e-5, decay to e-6" \
	6	--model "BigTail11i" \
	7	--input /data/rnd/thient/thient_data/ShanghaiTech/part_A \
	8	--lr 5e-5 \
	9	--decay 1e-6 \
	10	--loss_fn "MSEL1Mean" \
	11	--datasetname shanghaitech_keepfull_r50 \
	12	--load_model saved_model_best/l2_adamw2_bigtail11i_t2_sha/l2_adamw2_bigtail11i_t2_sha_checkpoint_valid_mae=-112.82307936350504.pth \
	13	--optim adamw \
	14	--cache \
	15	--epochs 2401 > logs/$task.log &
	16
	17	echo logs/$task.log # for convenience
	18
	19	#shanghaitech_keepfull_r50

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