nitin-dominic Goto Github PK

agricultural_weed_identification_using_optimized_deep_learning

automating-crop-stand-count-using-arcpy-and-python

automating-development-of-weed-prescription-map-using-arcpy-and-python

Weed Prescription Map using Arcpy and Python

darknet-based_weed_detection

image_classification_on_maize_and_sugarbeet_dataset

Implemented Image Classification on RStudio on Maize and Sugarbeet Dataset. Tuned several parameters and number of epochs along with the learning rate to increase the prediction accuracy.

imageprocessing

MicaSense RedEdge and Altum image processing tutorials

jithin8mathew

Jithin Mathew

kmeans_segmentation

Implemented KMeans on an orthomsaicked image of Barley Plots.

label-studio

Label Studio is a multi-type data labeling and annotation tool with standardized output format

labelimg

LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.

machine_learning_complete

A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

nr

A beautiful, simple, clean, and responsive Jekyll theme for academics

opencvtx2

This is a cloned repository from JetHacks. I have worked on implementing real-time Watershed Segmentation. You'll find the algorithm (.py) in Examples folder. Let me know if I can make the algorithm more efficient. Also, JetsonTX2's inbuilt camera is not switching on by default. I have tried to change certain command lines in python to switch to the camera but it simply fails. I think the problem might be in gstreamer support and OpenCV version. I'm still working on this issue and will update the repository once the problem is fixed.

renaming_images

Comes under organizing dataset with defined labels for each images in a directory.

reshaping_images

This routine can be used to resize any number of images inside a directory. Was useful in implementing CNN on a huge datasets.

sorting_images_according_to_the_classes

Sometimes downloaded dataset are all messed up and scattered. This algorithm helps in classifying dataset according to the classes of your choice.

transfer-learning-in-arcgis-pro

weedvision_a-single-stage-architecture-for-weed-detection-and-instance-segmentation

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors