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a mnist dataset for object detection
如果能增加跟导出的图片数量相同的labels文件,将可以使用yolo进行训练。
选择相应路径,运行make_data.py后,正确读取了./mnist/train/中的数据,也创建了Images文件夹和labels.txt,但是Images文件夹中并没有.jpg的图片,labels.txt中却有了imags路径以及标签,寻求您解答为什么Images文件夹中写入图片。
return ((xmax-xmin) * (ymax - ymin)) / (A1 + A2)
in this line, i think it should return ((xmax-xmin) * (ymax - ymin)) / (A1 + A2 - (xmax-xmin) * (ymax - ymin)) according to iou's definition.
=== before ===
for i in range(w):
for j in range(h):
x = xmin + i
y = ymin + j
blank[y][x] = image[j][i]
=== after ===
blank[ymin:ymin+h,xmin:xmin+w] = image[0:h,0:w]
https://github.com/YunYang1994/yymnist#intorduction
Could you please change from "intorduction" to "introduction"
image is read randomly in each loop. this mean that some image from the dataset might be missed, but some might be read a few times.
idx = random.randint(0, total_image)
data[0] = make_image(data, image_paths[idx], ratio)
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