A Python Framework for eIQ on i.MX Processors
Project description
A Python Framework for eIQ on i.MX Processors
PyeIQ is written on top of eIQ™ ML Software Development Environment and provides a set of Python classes allowing the user to run Machine Learning applications in a simplified and efficiently way without spending time on cross-compilations, deployments or reading extensive guides.
For further details: PyeIQ Page.
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
eiq-1.0.7.tar.gz
(30.3 kB
view details)
File details
Details for the file eiq-1.0.7.tar.gz
.
File metadata
- Download URL: eiq-1.0.7.tar.gz
- Upload date:
- Size: 30.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.2.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.2
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 |
d7c6631695e3938985b1ba55d6faabbd180e14d301a5a5f587b781e556769663
|
|
MD5 |
3014ddf2c5a1fc6c38ab49b3ac61c49a
|
|
BLAKE2b-256 |
50ea0e089bc399ced589c4b3113f17f3cffe3550985a8f5a2e980412021822b1
|