object_tracking | Object trackers | Computer Vision library
kandi X-RAY | object_tracking Summary
kandi X-RAY | object_tracking Summary
This repo contains C++ examples to use the following object trackers:. Also, there is another tracker that I implemented for ARM CPUs. It extracts FAST keypoints from the detected object, tracks them by KLT algorithm, and maps the bounding box to a new box using the estimated similarity transformation between the points. In addition to being multi-scale, all the trackers would report failures when the object is no longer in the scene or the tracking quality is below a threshold. This makes them very applicable to real-world projects. Feel free to use and send me PRs if you found better trackers :).
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of object_tracking
object_tracking Key Features
object_tracking Examples and Code Snippets
Community Discussions
Trending Discussions on object_tracking
QUESTION
I try to use Speech Transcription via Video Inteligence, however I get the following error :
...ANSWER
Answered 2021-Mar-23 at 13:58The following settings are prerequisite for Speech Transcription with Google Cloud.
Now, I set them, prior to the call and I can succesfully execute the video intelligence call.
QUESTION
I know how to trigger a video intelligence request for object tracking / object detection with Google Cloud as following :
...ANSWER
Answered 2021-Jan-25 at 10:34To trigger the same function for brand detection (LOGO_RECOGNITION?), scene detection (SHOT_CHANGE_DETECTION?), TEXT_DETECTION and SPEECH_TRANSCRIPTION, you can replace OBJECT_TRACKING
by, respectively, LOGO_RECOGNITION
, SHOT_CHANGE_DETECTION
, TEXT_DETECTION
or SPEECH_TRANSCRIPTION
.
Reference:
Available client libraries (For example, Python for the v1p3beta1)
Celebrity recognition is a restricted access feature. It is intended for use by media & entertainment companies or their approved partners on professionally-produced media.
You can find more details in the Celebrity recognition documentation on how to request access.
QUESTION
I'm trying to run object tracking on a folder containing multiple videos. There are 5 videos in my bucket and following the documentation from here, it suggests using the wildcard (*) operator. However, when I run the entire script, only 1 video gets annotated and not the entire folder containing 5 videos. Also, response2.json does not get created as the output_uri in my GCS bucket.
To identify multiple videos, a video URI may include wildcards in the object-id. Supported wildcards: ' * ' to match 0 or more characters; ‘?’ to match 1 character. https://googleapis.dev/python/videointelligence/latest/gapic/v1/types.html
Which is what I've done in my input_uri bit of the code:
...ANSWER
Answered 2020-Oct-16 at 21:12please modify 'gcs_uri = 'gs://video_intel/'' to gcs_uri = 'gs://video_intel/.*'
QUESTION
I'm trying to use below Python documentation to use the OBJECT_TRACKING METHOD. The script works but I'm wondering how can I download the JSON. I'm just starting out in Python.
Note: This question has now been answered by Javier below. I have amended the script below to show the answer for others looking for a same solution. There is an output_uri variable and in the operation function, the output_uri parameter has been added to create a response.json in your GCS location declared earlier.
...ANSWER
Answered 2020-Oct-05 at 06:58In the documentation of the annotate_video method you can find there's a parameter called output_uri you can use for this purpose:
output_uri (str) – Optional. Location where the output (in JSON format) should be stored. Currently, only Google Cloud Storage URIs are supported, which must be specified in the following format: gs://bucket-id/object-id (other URI formats return google.rpc.Code.INVALID_ARGUMENT). For more information, see Request URIs.
QUESTION
I have been using Google Cloud Video Intelligence annotation functionality with Google App Engine Flex. When I try to use VideoIntelligence with a two hour video, it takes 60 minutes for the AnnotateVideo function to respond.
...ANSWER
Answered 2020-May-06 at 16:14Cloud Run’s 900 second timeout is subject to change soon to satisfy your needs (up to an hour). There's a feature in the works. I’ll update here once it's available in beta, stay tuned.
#ahmetb-todo
QUESTION
I have been using Google Cloud Video Intelligence succesfully with my content with the following code for some time with my Django application running on Google App Engine Flex.
...ANSWER
Answered 2020-Apr-20 at 12:11There is no way for you to make this automatically by relying on an API. You would need to keep track of the amount of minutes you have using and deduct them from the free minutes so that you send yourself a notification.
Additionally, you can do the estimate of one of your cases with the GCP Pricing calculator.
Hope you find this useful!
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install object_tracking
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page