List of commits:
Subject Hash Author Date (UTC)
sha with fixed ground true sigma b368c9b07841e462ebff4f75b260c90ce1d4571f Thai Thien 2020-05-01 16:55:43
make sha training set d446d4ac968186bb564d907be1f34ba39c8dde5f Thai Thien 2020-05-01 15:56:02
OMP_NUM_THREADS=4 8e80475ba9cfd8bff7185327c81fe72b42cf0f28 Thai Thien 2020-04-30 19:44:28
ssim t6 edf1dcc13c83aaa933d94ea77140e551c0660e14 Thai Thien 2020-04-30 19:41:33
4 threads dc740b82dc931f9b4c971322a28876a3d95735f0 Thai Thien 2020-04-30 19:35:22
torch.set_num_threads(4) a45027f9b9088eb55da8fa7994dd6944e572b0e2 Thai Thien 2020-04-30 19:33:50
pin_memory=False dabbd7134c597e184c1be88831f15416579ceddc Thai Thien 2020-04-30 19:31:17
debug cpu consume d5d9699e2fed3725cd5467cdacd1b5762f2b988f Thai Thien 2020-04-30 19:20:38
only import ssim when it is needed 3088d6fe240f94cb47057d76e9fc4da48f2d3aaf Thai Thien 2020-04-30 19:16:10
no more batch timer 3fea48c4642f62ab92accbe2493b6275d68c1b02 Thai Thien 2020-04-30 19:04:16
num_worker=0 9e21a25fd4194e99c7899f7c6b6f04d51b432c61 Thai Thien 2020-04-30 19:01:09
.to(device) 136bafc672194946e944e85d43880f3342abf9be Thai Thien 2020-04-30 18:52:05
we load, so increase epoch b147d3d824c0597390900cb3506495ad9d842bd4 Thai Thien 2020-04-30 18:45:20
wrong note 31e67446689b4cecb8f118c43e6794fa437e8eb5 Thai Thien 2020-04-30 18:44:38
use ssim ccnn 311308b98fc0a426948953ecdf8b9eec6dfd69dd Thai Thien 2020-04-30 18:38:25
loss reduce as we train, it might ok cf1b359106f6e707e6862f2b3cbc9b5c85466ea4 Thai Thien 2020-04-30 18:34:19
replace SSIM with kornia SSIM 1f29782fe73751182b696c18567c1de3ab84a6bc Thai Thien 2020-04-30 17:13:09
fix link 3c55cee5cbc9fbaee0859b6ab61529029caee681 Thai Thien 2020-04-30 15:41:10
update documentation feaaa4095d89e99f71f0684eec302d01e421708d Thai Thien 2020-04-30 15:35:38
change gpu c7c6aa29ccee5736c2d4cb290c2ff71c6d897d57 Thai Thien 2020-04-30 12:31:11
Commit b368c9b07841e462ebff4f75b260c90ce1d4571f - sha with fixed ground true sigma
ccnn_v7_t2_sha_fixed
ccnn_v7_t1_sha_fixed
Author: Thai Thien
Author date (UTC): 2020-05-01 16:55
Committer name: Thai Thien
Committer date (UTC): 2020-05-01 16:55
Parent(s): d446d4ac968186bb564d907be1f34ba39c8dde5f
Signer:
Signing key:
Signing status: N
Tree: d93544d2fe58741f1490858fe45282a0d7f4f6c7
File Lines added Lines deleted
train_compact_cnn.py 2 3
train_script/CCNN/sha_fixed/ccnn_v7_t1_sha_fixed.sh 14 0
train_script/CCNN/sha_fixed/ccnn_v7_t2_sha_fixed.sh 14 0
File train_compact_cnn.py changed (mode: 100644) (index cd2fe73..161ef9b)
... ... from visualize_util import get_readable_time
11 11 import torch import torch
12 12 from torch import nn from torch import nn
13 13
14
15 14 from models import CompactCNNV2, CompactCNNV7 from models import CompactCNNV2, CompactCNNV7
16 15
17 16 import os import os
18 17 from model_util import get_lr from model_util import get_lr
19 18
20 19 COMET_ML_API = "S3mM1eMq6NumMxk2QJAXASkUM" COMET_ML_API = "S3mM1eMq6NumMxk2QJAXASkUM"
21 # PROJECT_NAME = "crowd-counting-framework"
22 PROJECT_NAME = "crowd-counting-debug"
20 PROJECT_NAME = "crowd-counting-framework"
21 # PROJECT_NAME = "crowd-counting-debug"
23 22
24 23
25 24 def very_simple_param_count(model): def very_simple_param_count(model):
File train_script/CCNN/sha_fixed/ccnn_v7_t1_sha_fixed.sh added (mode: 100644) (index 0000000..e24cc9b)
1 task="ccnn_v7_t1_sha_fixed"
2
3 CUDA_VISIBLE_DEVICES=1 OMP_NUM_THREADS=5 HTTPS_PROXY="http://10.60.28.99:86" nohup python train_compact_cnn.py \
4 --task_id $task \
5 --note "1e-4 sha fix 15" \
6 --model "CompactCNNV7" \
7 --input /data/rnd/thient/thient_data/shanghaitech_with_people_density_map/ShanghaiTech_fixed_sigma/part_A \
8 --lr 1e-4 \
9 --decay 1e-4 \
10 --batch_size 20 \
11 --datasetname shanghaitech_20p \
12 --epochs 901 > logs/$task.log &
13
14 echo logs/$task.log # for convenience
File train_script/CCNN/sha_fixed/ccnn_v7_t2_sha_fixed.sh added (mode: 100644) (index 0000000..f233b17)
1 task="ccnn_v7_t2_sha_fixed"
2
3 CUDA_VISIBLE_DEVICES=2 OMP_NUM_THREADS=5 HTTPS_PROXY="http://10.60.28.99:86" nohup python train_compact_cnn.py \
4 --task_id $task \
5 --note "1e-4 sha fix 15" \
6 --model "CompactCNNV7" \
7 --input /data/rnd/thient/thient_data/shanghaitech_with_people_density_map/ShanghaiTech_fixed_sigma/part_A \
8 --lr 1e-4 \
9 --decay 1e-4 \
10 --batch_size 20 \
11 --datasetname shanghaitech_keepfull \
12 --epochs 901 > logs/$task.log &
13
14 echo logs/$task.log # for convenience
Hints:
Before first commit, do not forget to setup your git environment:
git config --global user.name "your_name_here"
git config --global user.email "your@email_here"

Clone this repository using HTTP(S):
git clone https://rocketgit.com/user/hahattpro/crowd_counting_framework

Clone this repository using ssh (do not forget to upload a key first):
git clone ssh://rocketgit@ssh.rocketgit.com/user/hahattpro/crowd_counting_framework

Clone this repository using git:
git clone git://git.rocketgit.com/user/hahattpro/crowd_counting_framework

You are allowed to anonymously push to this repository.
This means that your pushed commits will automatically be transformed into a merge request:
... clone the repository ...
... make some changes and some commits ...
git push origin main