region | ThinkPHP5/6省市区街道四级联动扩展 | REST library

Could not find image for function projects/picci-e030e/locations/us-central1/functions/helloWorld.

The Firebase Function deployment failed because it cannot find the image built based on your function app. There might be a problem building in your app, it could be your dependencies or files.

I replicated your issue, received the same error and solved it. There's a problem with the package.json file and package-lock.json. If you just add(without installing) your dependency in package.json you should delete or remove your package-lock.json that will be found in function directory before you deploy it again using the deployment command:

If you are using NLog the easiest way to log in you startup.cs is to add private property.

Use array.every() to check all the elements of the array.

Here's a way to do it:

1. detect circles (for the example I assume circle is in the image center and radius is 50% of the image width)
2. unroll circle images by polar coordinates
3. make sure that the second image is fully visible in the first image, without a "circle end overflow"
4. simple template matching

Result for the following code:

For anyone who needs to extract a clean QR code ROI before actually decoding it, here's a simple approach to extract the QR code using thresholding, morphological operations, and contour filtering.

1. Obtain binary image. Load image, grayscale, Gaussian blur, Otsu's threshold

2. Connect individual QR contours. Create a rectangular structuring kernel with cv2.getStructuringElement() then perform morphological operations with cv2.MORPH_CLOSE.

3. Filter for QR code. Find contours and filter using contour approximation, contour area, and aspect ratio.

Here's the image processing pipeline

Load image, grayscale, Gaussian blur, then Otsu's threshold to get a binary image

Now we create a rectangular kernel and morph close to combine the QR code into one contour

We find contours and filter for the QR code using contour area, contour approximation, and aspect ratio. The detected QR code is highlighted in green

Extracted ROI

Code

• On Linux, it's important that any bash deployment scripts that get run have Unix line endings (LF) and not Windows line endings (CRLF).

• Kuduscript will generate scripts with platform-appropriate line endings, but if those scripts are modified, or if you provide your own custom deployment scripts, it's important to make sure that your editor doesn't change the line endings.

• If something seems off with your deployment script, you can always use the Kudu console to delete the contents of /home/site/deployments/tools.

• This is the directory where Kudu caches kuduscript-generated deployment scripts. On the next deployment, the script will be regenerated.

• The error you're currently seeing is a Kudu issue with running node/npm for deployments.

• The easiest and fastest resolution for what you are currently seeing is to specify engines.node in your package.json.

Error: EISDIR: illegal operation on a directory, open '/home/site/wwwroot/wwwroot/Identity/lib/bootstrap/LICENSE'

EISDIR stands for "Error, Is Directory". This means that NPM is trying to do something to a file but it is a directory. In your case, NPM is trying to "read" a file which is a directory. Since the operation cannot be done the error is thrown.

Three things to make sure here

1. Make sure the file exists. If it does not, you need to create it. (If NPM depends on any specific information in the file, you will need to have that information there).
2. Make sure it is in fact a file and not a directory.
3. It has the right permissions. You can change the file to have all permissions with "sudo chmod 777 FILE_NAME".

Note: You are giving Read, Write and Execute permissions to every one on that file.

Use a Parameter Store value with a CustomResource.

This answer has a full Typescript CDK example of cross-region refs.

(I originally posted this as a comment because I thought the question was perhaps a duplicate. But on reflection, I see that the linked question and tags only mention CloudFormation, not the CDK. Seems the community gets the most benefit from keeping this question alive).

After reviewing your error stack traces, probably the problem has to do with the fact that the MongoDB driver provides a cursor in object mode whereas the Body parameter of Upload requires a traditional stream, suitable for be processed by Buffer in this case.

Taking your original code as reference, you can try providing a Transform stream for dealing with both requirements.

Please, consider for instance the following code:

This is an example for Mexico but that is a matter of adjusting the csv read. It seems the grid aligns well (see last plot) however either slippymath is wrong of the data refers to cell centers and not to upper left corner. For sure the results could be quicker but it seems quick enough (Mexico is one of the bigger countries). In the first bit i explore creating a grid (this case zoom 4) in the second actually reading the data. Note that the dimensions of the grid need to be fixed because one was regular while the other was not regular. This causes problems with st_as_sf.