Skip to main content

put panda on your head

Project description

Function to calculate mean average precision (mAP) in CSV format for post detection prediction calculation.

Requirements

python 3.*, numpy, cv2,

Installation

pip install panda_producer
pip install panda_producer -i https://pypi.python.org/simple

Usage example:


from panda_producer import gen_panda_head
import cv2

front_img = cv2.imread("front.jpg", 0)
res = gen_panda_head(front_img, "text", hyper=128)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

panda_producer-0.1.1.tar.gz (15.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

panda_producer-0.1.1-py3-none-any.whl (17.4 kB view details)

Uploaded Python 3

File details

Details for the file panda_producer-0.1.1.tar.gz.

File metadata

  • Download URL: panda_producer-0.1.1.tar.gz
  • Upload date:
  • Size: 15.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.6.10

File hashes

Hashes for panda_producer-0.1.1.tar.gz
Algorithm Hash digest
SHA256 ce094fefcc00f69251ccdb2891c11e1a1897669ea12cdccf5082a15261db70be
MD5 39c9e78072ccad4d47074c1119643685
BLAKE2b-256 0da679f0401e998ca88fc0cf6285a536b9043f3a82515e2aba1d5c543ff1b6cd

See more details on using hashes here.

File details

Details for the file panda_producer-0.1.1-py3-none-any.whl.

File metadata

  • Download URL: panda_producer-0.1.1-py3-none-any.whl
  • Upload date:
  • Size: 17.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.6.10

File hashes

Hashes for panda_producer-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 ab16523d749f3b74cb686f78e0b61a0bdc73ccf896e9e566811e82ebfa12feaf
MD5 638b74678dc78c09cd15509451d3d482
BLAKE2b-256 6a4785472fbf8a88e8f754809fd5623dbb70ea588488d1be634e00fc010a2700

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page