This website uses Cookies. Click Accept to agree to our website's cookie use as described in our Privacy Policy. Click Preferences to customize your cookie settings.
I need to set up a payment system in my app which use Firestore for the
authentication. I tried to use the Stripe extension but it seems that
sat the moment it only supports subscription/membership methods. So a
user is charged a given amount per mon...
Hi, I am trying to set maxResults in batched vision.ImageAnnotatorClient
as follows but such a parameter is not recognized. contents =
loadImages(img_chunk) client = vision.ImageAnnotatorClient() requests =
[] for content in contents: image = {"conte...
I need to send a post request from Flutter to activate a Cloud Run
service.The service app code for the POST method in the back end is as
follow: app = Flask(__name__) @app.route("/", methods=["POST"]) def
index(): print("I AM IN INDEX") print("1") p...
Hi, I would like to use Google Run to make video processing. Which is
the fastest way for Google Run to access data stored in Google Storage?
I tied to download the 4 chunks that make up a GoPro video. Each chunk
is roughly 4Gb. Downloading locally t...
I have a script that uses the GeoTiler library. On my Mac, I can launch
several concurrent instances of the script with no issue. When I upload
the script to GKE, the following lines of code: ``` task =
render_map_async(map, downloader=downloader, **...
Thank you Kolban, it makes lot of sense. I will time the downloading
time bye the file size and see what i ebd up with. Thank you for your
valuable help!
Hello Kolban,first of all, thank you for your availability to helpYour
intuitions are all correct. Let me recap them one by one:yes, the videos
my pipeline needs to treat are divided into chunks of 4GB each because
GoPro divides long videos this way....
Thank you Christian, I will go through the documentation you suggested
and find the way, The high-level description of precesses and mechanisms
will help me to make sense of what i will read in. the docs. Thank yoU!
