在文件夹中保存带有不同名称的图像

发布于 2025-02-06 07:37:41 字数 905 浏览 2 评论 0原文

我尝试将图像保存在这样的文件夹中，它保存了不同的图像，但是每个下一个图像都有以前图像的所有名称。

db = h5py.File('results/Results.h5', 'r')
dsets = sorted(db['data'].keys())
for k in dsets:
    db = get_data()
    imnames = sorted(db['data'].keys())
slika = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
cv2.imwrite(f'spremljene_slike/ime_{imnames}.png', slika)

因此，我尝试过这样的尝试，并保存了不同的名称，但只有最后生成的图片才在文件夹中添加，因此不同的名称 - 相同的图片

    NUM_IMG = -1
    N = len(imnames)
    global NUM_IMG
    if NUM_IMG < 0:
        NUM_IMG = N
        start_idx,end_idx = 0,N  #min(NUM_IMG, N)
    
**In different function:**
for u in range(start_idx,end_idx):
    imname = imnames[u]
    cv2.imwrite(f'spremljene_slike/ime_{imname}.png', imname)

有人可以帮助，我找不到。我有脚本可以生成带有渲染文本的图像，然后将其保存在.h5文件中，然后从那里我想在不同文件夹中保存使用相应名称的图片。

原文

I tried save images in folder like this, it saves different images but every next image have all names of previously images.

db = h5py.File('results/Results.h5', 'r')
dsets = sorted(db['data'].keys())
for k in dsets:
    db = get_data()
    imnames = sorted(db['data'].keys())
slika = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
cv2.imwrite(f'spremljene_slike/ime_{imnames}.png', slika)

So i tried like this and it saves different names but only last generated picture is imwrited in folder, so different names - the same picture

    NUM_IMG = -1
    N = len(imnames)
    global NUM_IMG
    if NUM_IMG < 0:
        NUM_IMG = N
        start_idx,end_idx = 0,N  #min(NUM_IMG, N)
    
**In different function:**
for u in range(start_idx,end_idx):
    imname = imnames[u]
    cv2.imwrite(f'spremljene_slike/ime_{imname}.png', imname)

enter image description here

Can someone help, I can't figure out.
I have script which generate images with rendered text and save it in .h5 file, and then from there I want to save this pictures with corresponding names in different folder.

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不…忘初心 2025-02-13 07:37:41

根本看不到这是如何工作的。在第1行上，您定义db = h5py.file（），然后在第4行，将其重新定义为db = get_data（）。什么是get_data（）？

没有模式很难编写代码。下面的答案是我的最佳猜测，假设您的图像是db ['data']中的数据集，并且您想将数据集名称（又称密钥）用作图像名称。

with h5py.File('results/Results.h5', 'r') as db:
    dsets = sorted(db['data'].keys())
    for imname in dsets:
        img_arr = db['data'][imname][()]
        slika = cv2.cvtColor(img_arr, cv2.COLOR_BGR2RGB)
        cv2.imwrite(f'spremljene_slike/ime_{imname}.png', slika)

那应该是您需要做的全部。您将获得名为ime_ {imName} .png（其中imName是匹配的数据集名称）的每个数据集的1 .png。

另外，您可以消除所有中间变量（DSET，IMG_ARR和SLIKA）。将上述代码压缩为几行：

with h5py.File('results/Results.h5', 'r') as db:
    for imname in sorted(db['data'].keys()):
        cv2.imwrite(f'spremljene_slike/ime_{imname}.png', \
                    cv2.cvtColor(db['data'][imname][()], cv2.COLOR_BGR2RGB))

Don't see how this works at all. On line 1 you define db=h5py.File(), then on line 4, you redefine it as db=get_data(). What is get_data()?

It's hard to write code without the schema. Answer below is my best-guess assuming your images are datasets in db['data'] and you want to use the dataset names (aka keys) as the image names.

with h5py.File('results/Results.h5', 'r') as db:
    dsets = sorted(db['data'].keys())
    for imname in dsets:
        img_arr = db['data'][imname][()]
        slika = cv2.cvtColor(img_arr, cv2.COLOR_BGR2RGB)
        cv2.imwrite(f'spremljene_slike/ime_{imname}.png', slika)

That should be all you need to do. You will get 1 .png for each dataset named ime_{imname}.png (where imname is the matching dataset name).

Also, you can eliminate all of the intermediate variables (dsets, img_arr and slika). Compress the code above into a few lines:

with h5py.File('results/Results.h5', 'r') as db:
    for imname in sorted(db['data'].keys()):
        cv2.imwrite(f'spremljene_slike/ime_{imname}.png', \
                    cv2.cvtColor(db['data'][imname][()], cv2.COLOR_BGR2RGB))

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