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AutoFiS: Automatic Identification of Fish Species

Kotlin 74.07% Java 25.93%
sih sih2022 smart-india-hackathon object-detection tflite yolo android datastore kotlin material-3

autofis-m3's People

Contributors

aaparikh avatar siddheshkothadi avatar

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Forkers

aaparikh code-adg

autofis-m3's Issues

Take photos and then process

Make a separate branch "no-box".
In that branch:

  1. Remove the imageAnalysis part.
  2. Perform imageAnalysis on the cropped bitmap of the image which is received from imageCapture. Show loading progress dialog while the image is being processed.
  3. Move to the next screen if a fish exists in the current image.
  4. Else, show a message/toast/snackbar saying "fish not detected in the captured image, please retake the photo"

Images that are captured but not submitted remain in storage forever

Images that are captured but not submitted remain in storage forever. This happens when image is not submitted on enter details screen.

Possible solutions:

  1. Check for such images frequently either after fetching history or in the init block of history ViewModel and then delete all.
  2. Show such images in a separate section similar to the pending uploads section. Clicking on those images will navigate the user to the enter-details/{uri} screen.

Cancel option on enter details screen and back button behavior

The cancel option below the submit button will delete the image from the storage.
Back button behavior (both on the navbar and the top bar) can be changed in such a way that the clicked image will be deleted first and then the nav stack will be popped.

Newer fish

It doesn't detect newer fish types. This would be a great issue to fix i might suggest have more contributors who could identify these issues for quickly. im am extremely sorry if anything i said came off as rude.

Use WorkManager.enqueueUniqueWork()

different approach
= enqueue unique work
= in doWork:
- before showing notification
- check images that are not uploaded
- if images are to be uploaded, show a notification
- progress is updated based on % of images uploaded

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