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import gradio as gr
# import cv2
import os
import base64
from pathlib import Path
from core.poker_detector import PokerDetector
detector = PokerDetector(
model_path="onnx/poker_detection_v4_rank.onnx"
)
### 构建 examples
def build_examples():
examples = []
# 读取 examples 目录下的所有图片
for file in os.listdir("examples"):
if file.endswith(".jpg") or file.endswith(".png"):
image_path = os.path.join("examples", file)
examples.append([image_path])
return examples
full_examples = build_examples()
with gr.Blocks(css="""
.image img {
max-height: 512px;
}
"""
) as demo:
gr.Markdown("""
## 扑克牌检测
"""
)
with gr.Row():
with gr.Column():
image_input = gr.Image(label="上传扑克牌图片", type="numpy", elem_classes="image")
with gr.Column():
with gr.Column():
result_image = gr.Image(
label="检测结果",
interactive=False,
visible=True,
elem_classes="image"
)
with gr.Column():
use_time = gr.Textbox(
label="用时",
interactive=False,
visible=True,
)
with gr.Row():
with gr.Column():
gr.Examples(
full_examples[:10], inputs=[image_input], label="示例图片", examples_per_page=10,)
def detect_poker(image):
if image is None:
return None, ""
try:
image_rgb_with_pred, time_info = detector.pred_and_draw(image)
except Exception as e:
gr.Warning(f"检测失败: {e}")
return None, "检测失败"
return image_rgb_with_pred, time_info
image_input.change(fn=detect_poker,
inputs=[image_input],
outputs=[result_image, use_time])
if __name__ == "__main__":
demo.launch()
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