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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)
dataset script	bc5c052f5f956510ab95ef9a45434fd486c57fae	Thai Thien	2019-09-16 17:21:13
evaluator	ffc5bf8290ae0c469a9a18a2d061cfd1bfeee822	Thai Thien	2019-09-14 04:56:35
some more test for data loader	25173578cde7d4e9fe6c6140d1ee01caa4fcfc32	Thai Thien	2019-09-14 02:51:58
some visualize to debug data loader	e4f52007616acf307bddbde79c0fb4f8c649c785	Thai Thien	2019-09-13 17:35:45
wip	d7d44cad6774355bdfa45414258763f6c6a0c299	Thai Thien	2019-08-31 16:58:16
commit all	6dad7a58f7dbf9fc288ce9dd3e92be538851c2a7	Thai Thien	2019-08-29 19:10:44
input d1,d2,d3 match	fc2a809241f8b6356d964c63d40cbebd55ca5f6c	Thai Thien	2019-08-28 17:57:05
WIP	39eab26d061e61dfffbf164dbd5fd878299b7250	thient	2019-08-28 11:09:12
output of de is ok	dd770386674df3e0fbebafdfc48a9352bc28967d	thient	2019-08-28 10:54:09
code pacnn	c49537b5cc91e96e4e35c9338d2c95b9bb41c672	Thai Thien	2019-08-27 16:35:27
crowd counting stuff	da9f27a39cba9bdd021b6b5c562f5f7c2be50190	Thai Thien	2019-08-24 18:27:44
seem ok	53fa176c31669a0e89b04adf290cb398f0316c45	Thai Thien	2019-08-24 18:26:31
flow ok	ad849681000818dfbcd0c1715c2858aed7236041	Thai Thien	2019-08-24 17:00:02
wip	23c3ec48497782bbc91d829e1c8a682502360ab9	Thai Thien	2019-08-24 14:19:22
work in progress, try to use https://pytorch.org/ignite/quickstart.html	39c824fe8fc2501628ee42c236a844df45521007	Thai Thien	2019-08-24 07:41:46
Work in progress	984be31d85e5cbdb2af296ccdb128381fe9bf09e	Thai Thien	2019-08-24 05:30:51
README	045706df1fa3452d150a190675c60e80ebd18e08	Thai Thien	2019-08-24 04:11:49
init	18f7c296fb05c4340c1c20ca84c60fef4f93bb1f	Thai Thien	2019-08-24 04:08:16

Commit bc5c052f5f956510ab95ef9a45434fd486c57fae - dataset script
Author: Thai Thien
Author date (UTC): 2019-09-16 17:21
Committer name: Thai Thien
Committer date (UTC): 2019-09-16 17:21
Parent(s): ffc5bf8290ae0c469a9a18a2d061cfd1bfeee822
Signing key:
Tree: 7b0ce17289baac1b7ca45665eb99d373ec95be48

File	Lines added	Lines deleted
.gitignore	4	0
dataset_script/README.md	11	0
dataset_script/download_kaggle_crowd_dataset.sh	4	0
dataset_script/unzip_file.sh	5	0

File .gitignore changed (mode: 100644) (index 519cf75..35eb2d2)
2	2	__pycache__/	__pycache__/
3	3
4	4	\.idea/	\.idea/
	5
	6		data/
	7
	8		visualize/

File dataset_script/README.md added (mode: 100644) (index 0000000..82f573e)
	1	# All thing in this folder handle data
	2
	3	### Kaggle dataset
	4
	5	First, install https://anaconda.org/conda-forge/kaggle
	6	```bash
	7	conda install -c conda-forge kaggle
	8	```
	9
	10	Set Kaggle api to ~/.kaggle/kaggle.json as [instructed](https://github.com/Kaggle/kaggle-api)
	11

File dataset_script/download_kaggle_crowd_dataset.sh added (mode: 100644) (index 0000000..739aca7)
	1	kaggle datasets download ucf-cc-50-with-people-density-map
	2
	3	kaggle datasets download shanghaitech-with-people-density-map
	4

File dataset_script/unzip_file.sh added (mode: 100644) (index 0000000..35daadd)
	1	mkdir -p ../data/
	2
	3	mv shanghaitech-with-people-density-map.zip ../data/ ; cd ../data/ ;unzip shanghaitech-with-people-density-map.zip
	4
	5	# mv ucf-cc-50-with-people-density-map.zip ../data/ ; cd ../data/ ;unzip ucf-cc-50-with-people-density-map.zip

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