Pinned Repositories
labelme2coco
How to create custom COCO data set for instance segmentation
opencv_face_detection
real_time_object_detection_cpu
roman_urdu_hate_speech
simple_image_download
Python script that lets you auto download images from google images using tags
tensorflow-yolov4-tflite
YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.3.1, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite
yolo_get_preds
yolov4_darknet_custom_object_detection
yolov4_deepSort
yolov7-object-tracking
haroonshakeel's Repositories
haroonshakeel/yolov7-object-tracking
haroonshakeel/real_time_object_detection_cpu
haroonshakeel/roman_urdu_hate_speech
haroonshakeel/labelme2coco
How to create custom COCO data set for instance segmentation
haroonshakeel/opencv_face_detection
haroonshakeel/screenshot-to-code
Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)
haroonshakeel/yolov8_tracking
Real-time multi-object tracking and segmentation using YOLOv8
haroonshakeel/AgeGenderDeepLearning
haroonshakeel/AI-TRAINER
Using OpenCV to track workout !
haroonshakeel/Augmentor
Image augmentation library in Python for machine learning.
haroonshakeel/bilingual_sms_classification
haroonshakeel/deep-daze
Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally created by https://twitter.com/advadnoun
haroonshakeel/DeOldify
A Deep Learning based project for colorizing and restoring old images (and video!)
haroonshakeel/Facenet-TF
Facenet implementation using Tensorflow 2.x
haroonshakeel/GPEN
haroonshakeel/HybridNets
HybridNets: End-to-End Perception Network
haroonshakeel/Lip2Speech
A pipeline to read lips and generate speech for the read content.
haroonshakeel/ONNX-HybridNets-Multitask-Road-Detection
Python scripts for performing road segemtnation and car detection using the HybridNets multitask model in ONNX.
haroonshakeel/ONNX-YOLOv8-Instance-Segmentation
Python scripts performing Instance Segmentation using the YOLOv8 model in ONNX.
haroonshakeel/PaddleDetection
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
haroonshakeel/PaddleOCR
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
haroonshakeel/PALM-E
Implementation of "PaLM-E: An Embodied Multimodal Language Model"
haroonshakeel/PINTO_model_zoo
A repository that shares tuning results of trained models generated by TensorFlow / Keras. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. TensorFlow Lite. OpenVINO. CoreML. TensorFlow.js. TF-TRT. MediaPipe. ONNX. [.tflite,.h5,.pb,saved_model,tfjs,tftrt,mlmodel,.xml/.bin, .onnx]
haroonshakeel/Random-Words-API
🦄 Get Random Words (with pronunciation) for Free using this API
haroonshakeel/SemanticPalette
Semantic Palette: Guiding Scene Generation with Class Proportions
haroonshakeel/StyleFlow
StyleFlow: Attribute-conditioned Exploration of StyleGAN-generated Images using Conditional Continuous Normalizing Flows (ACM TOG 2021)
haroonshakeel/synthtiger
Official implementation of SynthTIGER (Synthetic Text Image GEneratoR) ICDAR 2021
haroonshakeel/TensorFlow-Advanced-Segmentation-Models
A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.
haroonshakeel/TensorflowLite-bin
Prebuilt binary for TensorFlowLite's standalone installer. For RaspberryPi. A very lightweight installer. I provide a FlexDelegate, MediaPipe Custom OP and XNNPACK enabled binary.
haroonshakeel/tflite2tensorflow
Generate saved_model, tfjs, tf-trt, EdgeTPU, CoreML, quantized tflite, ONNX, OpenVINO, Myriad Inference Engine blob and .pb from .tflite. Support for building environments with Docker. It is possible to directly access the host PC GUI and the camera to verify the operation. NVIDIA GPU (dGPU) support. Intel iHD GPU (iGPU) support. Supports inverse quantization of INT8 quantization model.