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import gradio as gr | |
import torch | |
import yolov7 | |
# Images | |
#torch.hub.download_url_to_file('https://raw.githubusercontent.com/nihalbaig0/BD-Vehicle-Detection/main/images/bondor_to_kodomtoli.jpg', 'bondor_to_kodomtoli.jpg') | |
#torch.hub.download_url_to_file('https://raw.githubusercontent.com/nihalbaig0/BD-Vehicle-Detection/main/images/lamabazar_to_versitygate.jpg', 'lamabazar_to_versitygate.jpg') | |
def yolov7_inference( | |
image: gr.inputs.Image = None, | |
model_path: gr.inputs.Dropdown = None, | |
image_size: gr.inputs.Slider = 640, | |
conf_threshold: gr.inputs.Slider = 0.25, | |
iou_threshold: gr.inputs.Slider = 0.45, | |
): | |
""" | |
YOLOv7 inference function | |
Args: | |
image: Input image | |
model_path: Path to the model | |
image_size: Image size | |
conf_threshold: Confidence threshold | |
iou_threshold: IOU threshold | |
Returns: | |
Rendered image | |
""" | |
model = yolov7.load(model_path, device="cpu", hf_model=True, trace=False) | |
model.conf = conf_threshold | |
model.iou = iou_threshold | |
results = model([image], size=image_size) | |
return results.render()[0] | |
inputs = [ | |
gr.inputs.Image(type="pil", label="Input Image"), | |
gr.inputs.Dropdown( | |
choices=[ | |
"nihalbaig/yolov7", | |
], | |
default="nihalbaig0/yolov7", | |
label="Model", | |
), | |
gr.inputs.Slider(minimum=320, maximum=1280, default=640, step=32, label="Image Size"), | |
gr.inputs.Slider(minimum=0.0, maximum=1.0, default=0.25, step=0.05, label="Confidence Threshold"), | |
gr.inputs.Slider(minimum=0.0, maximum=1.0, default=0.45, step=0.05, label="IOU Threshold"), | |
] | |
outputs = gr.outputs.Image(type="filepath", label="Output Image") | |
title = "Project-350: BD Vehicle Detection for Autonomous Vehicle" | |
#examples = [['bondor_to_kodomtoli.jpg', 'nihalbaig0/yolov7', 640, 0.25, 0.45], ['lamabazar_to_versitygate.jpg', 'nihalbaig0/yolov7', 640, 0.25, 0.45]] | |
demo_app = gr.Interface( | |
fn=yolov7_inference, | |
inputs=inputs, | |
outputs=outputs, | |
title=title, | |
#examples=examples, | |
cache_examples=True, | |
theme='darkhuggingface', | |
) | |
demo_app.launch(debug=True, enable_queue=True) |