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| import json | |
| import gradio as gr | |
| import yolov5 | |
| from PIL import Image | |
| from huggingface_hub import hf_hub_download | |
| import os | |
| app_title = "Detect defects in bird nest jar" | |
| models_ids = ['linhcuem/defects_bird_nest_jar_yolov5m_23_05','linhcuem/defects_nest_bird_jar_yolov5x_24_5','linhcuem/defects_bird_nest_jar_yolov5m6', 'linhcuem/defects_bird_nest_jar_yolov5x', 'linhcuem/defects_bird_nest_jar_yolov5s6' , 'linhcuem/defects_nest_bird_jar_yolov5l6'] | |
| current_model_id = models_ids[-1] | |
| model = yolov5.load(current_model_id) | |
| # model_yolov8 = YOLO(DEFAULT_DET_MODEL_ID_yolov8) | |
| examples = [['test_images/16823291638707408-a2A2448-23gmBAS_40174045.jpg', 0.25, 'linhcuem/defects_bird_nest_jar_yolov5m_23_05'], ['test_images/16823292102253310-a2A2448-23gmBAS_40174046.jpg', 0.25, 'linhcuem/defects_bird_nest_jar_yolov5m_23_05'], ['test_images/16823291808953550-a2A2448-23gmBAS_40174048.jpg', 0.25, 'linhcuem/defects_bird_nest_jar_yolov5m_23_05'], ['test_images/16823291801532480-a2A2448-23gmBAS_40174048.jpg', 0.25, 'linhcuem/defects_bird_nest_jar_yolov5m_23_05'], | |
| ['test_images/Image__2022-12-26__16-38-43.jpg', 0.25, 'linhcuem/defects_bird_nest_jar_yolov5m_23_05'], ['test_images/Image__2022-12-26__16-39-20.jpg', 0.25, 'linhcuem/defects_bird_nest_jar_yolov5m_23_05'], ['test_images/Image__2022-12-26__16-39-30.jpg', 0.25, 'linhcuem/defects_bird_nest_jar_yolov5m_23_05'], ['test_images/Image__2022-12-26__16-39-40.jpg', 0.25, 'linhcuem/defects_bird_nest_jar_yolov5m_23_05'], ['test_images/Image__2022-12-26__16-39-49.jpg', 0.25, 'linhcuem/defects_bird_nest_jar_yolov5m_23_05'], | |
| ['test_images/Image__2022-12-26__16-40-00.jpg', 0.25, 'linhcuem/defects_bird_nest_jar_yolov5m_23_05'], ['test_images/Image__2022-12-26__16-40-10.jpg', 0.25, 'linhcuem/defects_bird_nest_jar_yolov5m_23_05'], ['test_images/Image__2022-12-26__16-40-22.jpg', 0.25, 'linhcuem/defects_bird_nest_jar_yolov5m_23_05'], ['test_images/Image__2022-12-26__16-40-31.jpg', 0.25, 'linhcuem/defects_bird_nest_jar_yolov5m_23_05'], ['test_images/Image__2022-12-26__16-40-31.jpg', 0.25, 'linhcuem/defects_bird_nest_jar_yolov5m_23_05'], | |
| ['test_images/Image__2022-12-26__16-40-41.jpg', 0.25, 'linhcuem/defects_bird_nest_jar_yolov5m_23_05'], ['test_images/Image__2022-12-26__16-40-41.jpg', 0.25, 'linhcuem/defects_bird_nest_jar_yolov5m_23_05'], ['test_images/Image__2022-12-26__16-40-55.jpg', 0.25, 'linhcuem/defects_bird_nest_jar_yolov5m_23_05'], ['test_images/Image__2022-12-26__16-41-09.jpg', 0.25, 'linhcuem/defects_bird_nest_jar_yolov5m_23_05'], ['test_images/Image__2022-12-26__16-41-24.jpg', 0.25, 'linhcuem/defects_bird_nest_jar_yolov5m_23_05'], | |
| ['test_images/Image__2022-12-26__16-41-33.jpg', 0.25, 'linhcuem/defects_bird_nest_jar_yolov5m_23_05'], ['test_images/Image__2022-12-26__16-41-50.jpg', 0.25, 'linhcuem/defects_bird_nest_jar_yolov5m_23_05'], ['test_images/Image__2022-12-26__16-42-00.jpg', 0.25, 'linhcuem/defects_bird_nest_jar_yolov5m_23_05'], ['test_images/Image__2022-12-26__16-42-11.jpg', 0.25, 'linhcuem/defects_bird_nest_jar_yolov5m_23_05'], ['test_images/Image__2022-12-26__16-42-21.jpg', 0.25, 'linhcuem/defects_bird_nest_jar_yolov5m_23_05'], | |
| ['test_images/Image__2022-12-26__16-42-31.jpg', 0.25, 'linhcuem/defects_bird_nest_jar_yolov5m_23_05'], ['test_images/Image__2022-12-26__16-42-43.jpg', 0.25, 'linhcuem/defects_bird_nest_jar_yolov5m_23_05'], ['test_images/Image__2022-12-26__16-42-56.jpg', 0.25, 'linhcuem/defects_bird_nest_jar_yolov5m_23_05'], ['test_images/Image__2022-12-26__16-43-06.jpg', 0.25, 'linhcuem/defects_bird_nest_jar_yolov5m_23_05'], ['test_images/Image__2022-12-26__16-44-08.jpg', 0.25, 'linhcuem/defects_bird_nest_jar_yolov5m_23_05'], | |
| ['test_images/Image__2022-12-26__16-44-30.jpg', 0.25, 'linhcuem/defects_bird_nest_jar_yolov5m_23_05'], ['test_images/Image__2022-12-26__16-44-41.jpg', 0.25, 'linhcuem/defects_bird_nest_jar_yolov5m_23_05'], ['test_images/Image__2022-12-26__16-44-50.jpg', 0.25, 'linhcuem/defects_bird_nest_jar_yolov5m_23_05'], ['test_images/Image__2022-12-26__16-45-20.jpg', 0.25, 'linhcuem/defects_bird_nest_jar_yolov5m_23_05'], ['test_images/Image__2022-12-26__16-45-31.jpg', 0.25, 'linhcuem/defects_bird_nest_jar_yolov5m_23_05'], | |
| ['test_images/Image__2022-12-26__16-45-43.jpg', 0.25, 'linhcuem/defects_bird_nest_jar_yolov5m_23_05'], ['test_images/Image__2022-12-26__16-45-51.jpg', 0.25, 'linhcuem/defects_bird_nest_jar_yolov5m_23_05'], ['test_images/Image__2022-12-26__16-46-00.jpg', 0.25, 'linhcuem/defects_bird_nest_jar_yolov5m_23_05'], ['test_images/Image__2022-12-26__16-46-09.jpg', 0.25, 'linhcuem/defects_bird_nest_jar_yolov5m_23_05'], ['test_images/Image__2022-12-26__16-46-20.jpg', 0.25, 'linhcuem/defects_bird_nest_jar_yolov5m_23_05'], | |
| ['test_images/Image__2022-12-26__16-46-46.jpg', 0.25, 'linhcuem/defects_bird_nest_jar_yolov5m_23_05'], ['test_images/Image__2022-12-26__16-46-56.jpg', 0.25, 'linhcuem/defects_bird_nest_jar_yolov5m_23_05'], ['test_images/Image__2022-12-26__16-47-04.jpg', 0.25, 'linhcuem/defects_bird_nest_jar_yolov5m_23_05'], ['test_images/Image__2022-12-26__16-47-13.jpg', 0.25, 'linhcuem/defects_bird_nest_jar_yolov5m_23_05'], ['test_images/Image__2022-12-26__16-47-22.jpg', 0.25, 'linhcuem/defects_bird_nest_jar_yolov5m_23_05'], | |
| ['test_images/Image__2022-12-26__16-47-40.jpg', 0.25, 'linhcuem/defects_bird_nest_jar_yolov5m_23_05'], ['test_images/Image__2022-12-26__16-48-24.jpg', 0.25, 'linhcuem/defects_bird_nest_jar_yolov5m_23_05']] | |
| def predict(image, threshold=0.25, model_id=None): | |
| #update model if required | |
| global current_model_id | |
| global model | |
| if model_id != current_model_id: | |
| model = yolov5.load(model_id) | |
| # model_yolov8 = YOLO(DEFAULT_DET_MODEL_ID_yolov8) | |
| current_model_id = model_id | |
| # get model input size | |
| config_path = hf_hub_download(repo_id=model_id, filename="config.json") | |
| with open(config_path, "r") as f: | |
| config = json.load(f) | |
| input_size = config["input_size"] | |
| #perform inference | |
| model.conf = threshold | |
| results = model(image, size=input_size) | |
| numpy_image = results.render()[0] | |
| output_image = Image.fromarray(numpy_image) | |
| return output_image | |
| gr.Interface( | |
| title=app_title, | |
| description="DO ANH DAT", | |
| fn=predict, | |
| inputs=[ | |
| gr.Image(type="pil"), | |
| gr.Slider(maximum=1, step=0.01, value=0.25), | |
| gr.Dropdown(models_ids, value=models_ids[-1]), | |
| ], | |
| outputs=gr.Image(type="pil"), | |
| examples=examples, | |
| cache_examples=True if examples else Fale, | |
| ).launch(enable_queue=True) |