A mini package for daily tasks
Project description
TACV - A mini package for daily tasks
Installation
pip install tacv
Examples
File utils
Get all file paths from a directory
from tacv.fileUtils import get_all_files
file_paths = get_all_files("dir_name")
Returns a list of file absolute paths, for example
['./venvCondaTest/x86_64-conda_cos6-linux-gnu/bin/ld', './venvCondaTest/conda-meta/_libgcc_mutex-0.1-main.json', './venvCondaTest/conda-meta/xz-5.2.5-h7b6447c_0.json', './venvCondaTest/conda-meta/wheel-0.37.1-pyhd3eb1b0_0.json', './venvCondaTest/conda-meta/setuptools-58.0.4-py36h06a4308_0.json', './venvCondaTest/conda-meta/ca-certificates-2021.10.26-h06a4308_2.json', './venvCondaTest/conda-meta/readline-8.1.2-h7f8727e_1.json', './venvCondaTest/conda-meta/sqlite-3.37.2-hc218d9a_0.json', './venvCondaTest/conda-meta/libgcc-ng-9.3.0-h5101ec6_17.json', './venvCondaTest/conda-meta/ncurses-6.3-h7f8727e_2.json']
Save/load json data to/from file
from tacv.fileUtils import save_json,load_json
json_file = "myfile.json"
json_data = {"name":"Ta","age":100}
# save json
save_json(json_file,json_data)
# load json
json_data = load_json(json_file)
Visual
Draw 2D points onto an image
import cv2
from tacv.visual import draw_points
image = cv2.imread("myimage.jpg")
points = [(18,19),(55,55),(102,22),(66,22)]
draw_points(image,points,circular=True,color=(0,255,0),thickness=2)
cv2.imwrite("new_image.jpg",image)
Video
Synthesize a video from images
from tacv.video import images2video
image_dir = "my_images" #directory containing images in the same format
video_path = "tacv_test.mp4" #path to save the synthesized video
images2video(image_dir,video_path)
Extract images from a video
from tacv.video import video2images
video_path = "tacv_test.mp4" #path to video to be extracted to images
image_dir = "my_images" #directory to save the extracted images
video2images(video_path,image_dir)
For more
- Visit args description in source code
- Visit
test.pyfile
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
tacv-1.0.5.tar.gz
(5.0 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
tacv-1.0.5-py3-none-any.whl
(7.3 kB
view details)
File details
Details for the file tacv-1.0.5.tar.gz.
File metadata
- Download URL: tacv-1.0.5.tar.gz
- Upload date:
- Size: 5.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.7.11
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
f59ba32d2a21f55a286cb3067dbc0fa0d9e26c232f1f177f8f744ac73de542cb
|
|
| MD5 |
9afd07f8d31a08ed8159beb57766e42a
|
|
| BLAKE2b-256 |
15e6712954a613abfaf315a488f3b2b619d2ecc650cd73d863d677bbcc717c35
|
File details
Details for the file tacv-1.0.5-py3-none-any.whl.
File metadata
- Download URL: tacv-1.0.5-py3-none-any.whl
- Upload date:
- Size: 7.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.7.11
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a5011d00ef8a29b1b7bfbe92e5c3e99806b4c4920829e14a7ab87b1eb51e62e2
|
|
| MD5 |
19dc455d6f81479c5213f45cafea8faa
|
|
| BLAKE2b-256 |
3b0e1139c1c40164c8678e22719503aca8044ddf7d19910a0f32d730b16cd138
|