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Zengyf-CVer
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Commit
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6043033
1
Parent(s):
ed65b4c
app update
Browse files
app.py
CHANGED
@@ -1,6 +1,6 @@
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# Gradio YOLOv8 Det v0.2
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# 创建人:曾逸夫
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# 创建时间:2023-01-
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import argparse
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import csv
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@@ -45,7 +45,7 @@ from util.fonts_opt import is_fonts
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ROOT_PATH = sys.path[0] # 根目录
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# Gradio YOLOv8 Det版本
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GYD_VERSION = "Gradio YOLOv8 Det v0.2"
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# 文件后缀
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suffix_list = [".csv", ".yaml"]
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@@ -58,7 +58,7 @@ obj_style = ["小目标", "中目标", "大目标"]
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def parse_args(known=False):
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parser = argparse.ArgumentParser(description="Gradio YOLOv8 Det v0.2")
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parser.add_argument("--model_type", "-mt", default="online", type=str, help="model type")
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parser.add_argument("--source", "-src", default="upload", type=str, help="image input source")
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parser.add_argument("--source_video", "-src_v", default="upload", type=str, help="video input source")
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@@ -236,12 +236,9 @@ def polygon_drawing(img_mask, canvas, color_seg):
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# 输出分割结果
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def seg_output(img_path, seg_mask_list, color_list, cls_list):
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img = cv2.imread(img_path)
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img = cv2.cvtColor(img, cv2.COLOR_BGR2BGRA)
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w, h = img.shape[1], img.shape[0]
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canvas = np.zeros((h, w, 3), dtype=np.uint8)
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canvas = cv2.cvtColor(canvas, cv2.COLOR_BGR2BGRA)
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# 获取分割坐标
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for seg_mask, cls_index in zip(seg_mask_list, cls_list):
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@@ -249,9 +246,9 @@ def seg_output(img_path, seg_mask_list, color_list, cls_list):
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for i in range(len(seg_mask)):
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img_mask.append([seg_mask[i][0] * w, seg_mask[i][1] * h])
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polygon_drawing(img_mask,
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img_mask_merge = cv2.
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return img_mask_merge
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# Gradio YOLOv8 Det v0.2.2
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# 创建人:曾逸夫
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# 创建时间:2023-01-23
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import argparse
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import csv
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ROOT_PATH = sys.path[0] # 根目录
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# Gradio YOLOv8 Det版本
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GYD_VERSION = "Gradio YOLOv8 Det v0.2.2"
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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 YOLOv8 Det v0.2.2")
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parser.add_argument("--model_type", "-mt", default="online", type=str, help="model type")
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parser.add_argument("--source", "-src", default="upload", type=str, help="image input source")
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parser.add_argument("--source_video", "-src_v", default="upload", type=str, help="video input source")
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# 输出分割结果
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def seg_output(img_path, seg_mask_list, color_list, cls_list):
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img = cv2.imread(img_path)
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img_c = img.copy()
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w, h = img.shape[1], img.shape[0]
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# 获取分割坐标
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for seg_mask, cls_index in zip(seg_mask_list, cls_list):
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for i in range(len(seg_mask)):
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img_mask.append([seg_mask[i][0] * w, seg_mask[i][1] * h])
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polygon_drawing(img_mask, img_c, color_list[int(cls_index)]) # 绘制分割图形
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img_mask_merge = cv2.addWeighted(img, 0.3, img_c, 0.7, 0) # 合并图像
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return img_mask_merge
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