[yolo12] The big gif file is removed

Author: daniil-lyakhov

examples/models/yolo12/README.md

@@ -0,0 +1,113 @@
+# YOLO12 Detection C++ Inference with ExecuTorch
+
+This example demonstrates how to perform inference of [Ultralytics YOLO12 family](https://docs.ultralytics.com/models/yolo12/) detection models in C++ leveraging the Executorch backends:
+- [OpenVINO](../../../backends/openvino/README.md)
+- [XNNPACK](../../../backends/xnnpack/README.md)
+
+# Performance Evaluation
+
+| CPU                            | Model   | Backend  | Device | Precision | Average Latency, ms |
+|--------------------------------|---------|----------|--------|-----------|---------------------|
+| Intel(R) Core(TM) Ultra 7 155H | yolo12s | openvino | CPU    | FP32      | 88.3549             |
+| Intel(R) Core(TM) Ultra 7 155H | yolo12s | openvino | CPU    | INT8      | 53.066              |
+| Intel(R) Core(TM) Ultra 7 155H | yolo12l | openvino | CPU    | FP32      | 317.953             |
+| Intel(R) Core(TM) Ultra 7 155H | yolo12l | openvino | CPU    | INT8      | 150.846             |
+| Intel(R) Core(TM) Ultra 7 155H | yolo12s | openvino | GPU    | FP32      | 32.71               |
+| Intel(R) Core(TM) Ultra 7 155H | yolo12l | openvino | GPU    | FP32      | 70.885              |
+| Intel(R) Core(TM) Ultra 7 155H | yolo12s | xnnpack  | CPU    | FP32      | 169.36              |
+| Intel(R) Core(TM) Ultra 7 155H | yolo12l | xnnpack  | CPU    | FP32      | 436.876             |
+
+
+# Instructions
+
+### Step 1: Install ExecuTorch
+
+To install ExecuTorch, follow this [guide](https://pytorch.org/executorch/stable/getting-started-setup.html).
+
+### Step 2: Install the backend of your choice
+
+- [OpenVINO backend installation guide](../../../backends/openvino/README.md#build-instructions)
+- [XNNPACK backend installation guilde](https://pytorch.org/executorch/stable/tutorial-xnnpack-delegate-lowering.html#running-the-xnnpack-model-with-cmake)
+
+### Step 3: Install the demo requirements
+
+
+Python demo requirements:
+```bash
+python -m pip install -r examples/models/yolo12/requirements.txt
+```
+
+Demo infenrece dependency - OpenCV library:
+https://opencv.org/get-started/
+
+
+### Step 4: Export the Yolo12 model to the ExecuTorch
+
+
+OpenVINO:
+```bash
+python export_and_validate.py --model_name yolo12s --input_dims=[1920,1080]  --backend openvino --device CPU
+```
+
+OpenVINO quantized model:
+```bash
+python export_and_validate.py --model_name yolo12s --input_dims=[1920,1080]  --backend openvino --quantize --video_input /path/to/calibration/video --device CPU
+```
+
+XNNPACK:
+```bash
+python export_and_validate.py --model_name yolo12s --input_dims=[1920,1080] --backend xnnpack
+```
+
+> **_NOTE:_**  Quantization for XNNPACK backend is WIP. Please refere to https://github.com/pytorch/executorch/issues/11523 for more details.
+
+Exported model could be validated using the `--validate` key:
+
+```bash
+python export_and_validate.py --model_name yolo12s --backend ... --validate dataset_name.yaml
+```
+
+A list of available datasets and instructions on how to use a custom dataset can be found [here](https://docs.ultralytics.com/datasets/detect/).
+Validation only supports the default `--input_dims`; please do not specify this parameter when using the `--validate` flag.
+
+
+To get a full parameters description please use the following command:
+```bash
+python export_and_validate.py --help
+```
+
+### Step 5: Build the demo project
+
+OpenVINO:
+
+```bash
+cd examples/models/yolo12
+mkdir build && cd build
+cmake -DCMAKE_BUILD_TYPE=Release -DUSE_OPENVINO_BACKEND=ON ..
+make -j$(nproc)
+```
+
+XNNPACK:
+
+```bash
+cd examples/models/yolo12
+mkdir build && cd build
+cmake -DCMAKE_BUILD_TYPE=Release -DUSE_XNNPACK_BACKEND=ON ..
+make -j$(nproc)
+```
+
+### Step 6: Run the demo
+
+```bash
+./build/Yolo12DetectionDemo -model_path /path/to/exported/model -input_path /path/to/video/file -output_path /path/to/output/annotated/video
+```
+
+To get a full parameters description please use the following command:
+```
+./build/Yolo12DetectionDemo --help
+```
+
+
+# Credits:
+
+Ultralytics examples: https://github.com/ultralytics/ultralytics/tree/main/examples