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feat(mobile): hand tracking model with drawing #6
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Add a couple of task in the backlog, one to fix the points and the other tho improve the performance |
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Nice
client/lib/core/manager/keypoints/keypoints_manager_mobile.dart
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client/lib/core/manager/keypoints/keypoints_manager_mobile.dart
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client/lib/core/manager/keypoints/keypoints_manager_mobile.dart
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static Future<void> saveImage(img.Image image, [int i = 0]) async { | ||
final jpeg = img.encodeJpg(image); | ||
final appDir = await getTemporaryDirectory(); |
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Path provider is not supported in web, now it's not a problem but if we want to implement a web app we might need to create a custom interface for this use cases.
Not a comment to fix right now, just something to keep in mind for later
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Good catch, we can discuss it, and check if we need this function for the app or not
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Good catch, I think we don't need it
client/lib/core/manager/keypoints/hand_tracking_classifier.dart
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static Future<void> saveImage(img.Image image, [int i = 0]) async { | ||
final jpeg = img.encodeJpg(image); | ||
final appDir = await getTemporaryDirectory(); |
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Good catch, I think we don't need it
⭐ Feature
✏️ Description:
Added logic for TensorFlow lite models support and the hand tracking model—also, Some widgets for the drawing of the hand on the screen.
🎥 Screen record:
iOS
RPReplay_Final1718818624.mov
📌 Notes: