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# Facial Landmark Detection using Mediapipe
## Problem Statement
Facial landmark detection is crucial for various applications such as face recognition, emotion analysis, and augmented reality. Cu…
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Hi dear
I would ask how I can deal with data already cropped mouth region with distribution size, I want to apply all pre-processing and data augmentation processes on this project on my own data.…
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Sorry to bother you. Right now I am using this drift project to estimate my biped robot. But I found there are many delays of my estimated orientation and COM position in world frame. What can I do to…
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Here is a possible option for obtaining landmark data to fill the app with landmarks. This would be the base landmark data the app will begin with, and later users will build upon the repository of la…
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When we run detections, the Detector class automatically fills out all of the relevant Fex meta data. However, when we cast at pandas dataframe as a Fex object, this needs to be manually passed as a…
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### Product
playwright
### Product Version
4.9.0
### Latest Version
- [X] I have tested the issue with the latest version of the product
### Issue Description
#### Expectation
[Here](https://c…
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```
#include "main_functions.h"
#include "app_camera_esp.h"
#include "tensorflow/lite/micro/micro_interpreter.h"
#include "tensorflow/lite/micro/micro_log.h"
#include "tensorflow/lite/micro/mic…
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Hi, thank you for the amazing work.
When I run the stage one data processing code
`python -m scripts.data_preprocess --input_dir dataset_name/videos --step 1
`
I got many `#face is invalid: 0`…
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This implementation has the constraint that all of the landmarks it expects to see are cylindrical pillars of a uniform radius. The landmarks are identified using laser scan data reported by the simul…
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I want to train the data by myself.
My method:
input data: four kinds of training data( includes positive, negative, part, landmarks)
for different data, only backward specific loss layers.(eg. F…