fninsiima Goto Github PK

adsurv

Files for the mcrops adhoc surveillance project

annotation

Python tools to annotate images

blog

Data, code, and scripts for the analysis in the Mode blog.

caffe-windows

Configure Caffe in one hour for Windows users.

calculatorlibrary

Real pythons guide to CI with CircleCI

cbs-python

cbsd

Pixel Based Classification Methods in Cassava Brown Streak Disease (CBSD) for Automatic Symptom Measurement

cropmonitoring

This page shows the real time results from a survey system developed at Makerere University, Uganda, which uses camera-phone input to provide timely data on the health of staple crops. Survey workers (with GPS enabled devices) and agricultural extension workers or farmers (with basic camera phones) can provide data in the form of images taken of the leaves of their crops. Applying computer vision techniques to large sets of such uploaded images, we can automatically classify the state of health of plants, and then map the extent of the disease in a district or country. In this way, more data can be collected, more rapidly and at lower cost, than is possible with traditional survey methods. We concentrate here on cassava, which is the third largest source of carbohydrate for human consumption in the world, and provides more food calories per unit of land than any other staple crop

data-science

:bar_chart: Path to a free self-taught education in Data Science!

docker-react

docker-whitefly

Docker Image to support whitefly count from ailab

dsa-ml-systems

Repo for teaching materials related to the Data Science Africa course Machine Learning Systems

dsi_projects

General Assembly - Project 1 (Due 5th March 2018)

earlyoom

earlyoom - Early OOM Daemon for Linux

flavisites

sites for flavi

fninsiima.github.io

free-data-science-books

Free resources for learning data science

google-cloud-4-words

The Google Cloud Developer's Cheat Sheet

guyjavacode

hello-github-actions

kivy-opencv

medium-files

metadataextractor

microscopy-object-detection

Mobile point-of-care lab diagnostics

motion-detection-with-raspberrypi3

objdet_train_tensorflow_colab

Google Colab (Jupyter) notebook to retrain Object Detection Tensorflow model with custom dataset.

research_papers

schoolinternshipprojects

segmentationevaluationtechniques

Implementation of gce, ji, ri in python for segmentation evaluation

tts

text-to-speech: capture audio from google translate or demo website: speechsynthesis: web speech api