update

examples/YOLOv8-OpenCV-int8-tflite-Python/README.md

@@ -0,0 +1,65 @@
+# YOLOv8 - Int8-TFLite Runtime
+
+Welcome to the YOLOv8 Int8 TFLite Runtime for efficient and optimized object detection project. This README provides comprehensive instructions for installing and using our YOLOv8 implementation.
+
+## Installation
+
+Ensure a smooth setup by following these steps to install necessary dependencies.
+
+### Installing Required Dependencies
+
+Install all required dependencies with this simple command:
+
+```bash
+pip install -r requirements.txt
+```
+
+### Installing `tflite-runtime`
+
+To load TFLite models, install the `tflite-runtime` package using:
+
+```bash
+pip install tflite-runtime
+```
+
+### Installing `tensorflow-gpu` (For NVIDIA GPU Users)
+
+Leverage GPU acceleration with NVIDIA GPUs by installing `tensorflow-gpu`:
+
+```bash
+pip install tensorflow-gpu
+```
+
+**Note:** Ensure you have compatible GPU drivers installed on your system.
+
+### Installing `tensorflow` (CPU Version)
+
+For CPU usage or non-NVIDIA GPUs, install TensorFlow with:
+
+```bash
+pip install tensorflow
+```
+
+## Usage
+
+Follow these instructions to run YOLOv8 after successful installation.
+
+Convert the YOLOv8 model to Int8 TFLite format:
+
+```bash
+yolo export model=yolov8n.pt imgsz=640 format=tflite int8
+```
+
+Locate the Int8 TFLite model in `yolov8n_saved_model`. Choose `best_full_integer_quant` or verify quantization at [Netron](https://netron.app/). Then, execute the following in your terminal:
+
+```bash
+python main.py --model yolov8n_full_integer_quant.tflite --img image.jpg --conf-thres 0.5 --iou-thres 0.5
+```
+
+Replace `best_full_integer_quant.tflite` with your model file's path, `image.jpg` with your input image, and adjust the confidence (conf-thres) and IoU thresholds (iou-thres) as necessary.
+
+### Output
+
+The output is displayed as annotated images, showcasing the model's detection capabilities:
+
+![image](https://github.com/wamiqraza/Attribute-recognition-and-reidentification-Market1501-dataset/blob/main/img/bus.jpg)