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Xu Ma
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041c78a
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Parent(s):
ae140ff
Update app.py
Browse files
app.py
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# Gradio YOLOv5 Det v0.1
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# 创建人:曾逸夫
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# 创建时间:2022-04-03
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# email:[email protected]
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# 项目主页:https://gitee.com/CV_Lab/gradio_yolov5_det
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import argparse
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import csv
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import sys
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@@ -18,20 +12,14 @@ ROOT_PATH = sys.path[0] # 根目录
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# 模型路径
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model_path = "ultralytics/yolov5"
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# 模型名称临时变量
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model_name_tmp = ""
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# 设备临时变量
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device_tmp = ""
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# 文件后缀
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suffix_list = [".csv", ".yaml"]
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def parse_args(known=False):
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parser = argparse.ArgumentParser(description="Gradio
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parser.add_argument(
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"--model_name", "-mn", default="yolov5s", type=str, help="model name"
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)
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@@ -80,8 +68,6 @@ def parse_args(known=False):
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args = parser.parse_known_args()[0] if known else parser.parse_args()
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return args
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# 模型加载
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def model_loading(model_name, device):
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@@ -89,8 +75,6 @@ def model_loading(model_name, device):
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model = torch.hub.load(model_path, model_name, force_reload=True, device=device)
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return model
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# 检测信息
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def export_json(results, model, img_size):
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@@ -115,8 +99,6 @@ def export_json(results, model, img_size):
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]
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for result in results.xyxyn
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]
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def yolo_det(img, experiment_id, device=None, model_name=None, inference_size=None, conf=None, iou=None, label_opt=None, model_cls=None):
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global model, model_name_tmp, device_tmp
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@@ -145,6 +127,13 @@ def yolo_det(img, experiment_id, device=None, model_name=None, inference_size=No
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return det_img, det_json
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# yaml文件解析
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def yaml_parse(file_path):
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return yaml.safe_load(open(file_path, "r", encoding="utf-8").read())
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@@ -193,8 +182,8 @@ def main(args):
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inputs_img = gr.inputs.Image(type="pil", label="Input Image")
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experiment_id = gr.inputs.Radio(
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choices=[
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"add [1,1,1,1,1] total 5 paths",
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"add [1,1,1,1,1,1,1,1] total 8 paths",
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"add [1,2,4,8,16,32, ...] total 128 paths",
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"add [1,2,4,8,16,32, ...] total 256 paths"], type="value", default="add [1,1,1,1,1] paths", label="Path Adding Scheduler"
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)
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examples = [
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[
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"./examples/1.png",
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"add [1,1,1,1,1] total 5 paths",
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],
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[
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"./examples/2.png",
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"add [1,1,1,1,1] total 5 paths",
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],
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[
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"./examples/3.jpg",
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],
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[
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"./examples/5.png",
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"add [1,1,1,1,1] total 5 paths",
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],
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]
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inputs=inputs,
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outputs=[outputs, outputs02],
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title=title,
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examples=examples,
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theme="seafoam",
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# live=True, # 实时变更输出
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import argparse
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import csv
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import sys
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# 模型路径
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model_path = "ultralytics/yolov5"
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# 模型名称临时变量
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model_name_tmp = ""
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# 设备临时变量
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device_tmp = ""
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# 文件后缀
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suffix_list = [".csv", ".yaml"]
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def parse_args(known=False):
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parser = argparse.ArgumentParser(description="Gradio LIVE")
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parser.add_argument(
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"--model_name", "-mn", default="yolov5s", type=str, help="model name"
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)
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args = parser.parse_known_args()[0] if known else parser.parse_args()
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return args
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# 模型加载
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def model_loading(model_name, device):
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model = torch.hub.load(model_path, model_name, force_reload=True, device=device)
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return model
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# 检测信息
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def export_json(results, model, img_size):
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]
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for result in results.xyxyn
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]
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def yolo_det(img, experiment_id, device=None, model_name=None, inference_size=None, conf=None, iou=None, label_opt=None, model_cls=None):
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global model, model_name_tmp, device_tmp
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return det_img, det_json
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# yaml文件解析
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def yaml_parse(file_path):
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return yaml.safe_load(open(file_path, "r", encoding="utf-8").read())
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inputs_img = gr.inputs.Image(type="pil", label="Input Image")
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experiment_id = gr.inputs.Radio(
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choices=[
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"add [1, 1, 1, 1, 1] total 5 paths",
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"add [1, 1, 1, 1, 1, 1, 1, 1] total 8 paths",
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"add [1,2,4,8,16,32, ...] total 128 paths",
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"add [1,2,4,8,16,32, ...] total 256 paths"], type="value", default="add [1,1,1,1,1] paths", label="Path Adding Scheduler"
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)
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examples = [
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[
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"./examples/1.png",
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"add [1, 1, 1, 1, 1] total 5 paths",
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],
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[
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"./examples/2.png",
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"add [1, 1, 1, 1, 1] total 5 paths",
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],
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[
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"./examples/3.jpg",
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],
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[
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"./examples/5.png",
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"add [1, 1, 1, 1, 1] total 5 paths",
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],
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]
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inputs=inputs,
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outputs=[outputs, outputs02],
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title=title,
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description=description,
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examples=examples,
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theme="seafoam",
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# live=True, # 实时变更输出
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