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###########
# BUILDER #
###########
FROM python:3.10.8-slim AS builder

# Upgrade pip
RUN pip install --upgrade pip

# Install a specific poetry version, it can be useful to avoid breaking changes
RUN pip install poetry==1.8.3

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name: Create release

on:
  push:
    tags:
      - v*

permissions:
  contents: write

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import cv2
import numpy as np
import mediapipe as mp
from mediapipe.tasks import python
from mediapipe.tasks.python import vision
from mediapipe.framework.formats import landmark_pb2

# Model available to download here: https://developers.google.com/mediapipe/solutions/vision/pose_landmarker#models
model_path = "pose_landmarker_full.task"

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version: "3"

services:

  postgres-test:
    image: postgres:15.1-alpine

    ports:
      - "5432:5432"  # If port 5432 is already in use on the host machine, you can change this with: "5435:5432"

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27 is ODD, so I make 3n+1: 82
82 is EVEN, so I take half: 41
41 is ODD, so I make 3n+1: 124
124 is EVEN, so I take half: 62
62 is EVEN, so I take half: 31
31 is ODD, so I make 3n+1: 94
94 is EVEN, so I take half: 47
47 is ODD, so I make 3n+1: 142
142 is EVEN, so I take half: 71
71 is ODD, so I make 3n+1: 214

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Point id	Point label
0	"nose"
1	"left_eye"
2	"right_eye"
3	"left_ear"
4	"right_ear"
5	"left_shoulder"
6	"right_shoulder"
7	"left_elbow"

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Emoji list from gitmoji

Emoji	Usage	Tag
🎨	Improve structure / format of the code.	:art:
⚡	Improve performance.	:zap:
🔥	Remove code or files.	:fire:
🐛	Fix a bug.	:bug:
🚑️	Critical hotfix.	:ambulance:
✨	Introduce new features.	:sparkles:

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def test_gpu_support():
    """Check CUDA compatibility with TensorFlow & DLIB.

    """
    import os
    import dlib
    import tensorflow as tf
    print("[INFO] TensorFlow: ", tf.__version__)
    print("[INFO] DLIB: ", dlib.__version__)

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import jetson.inference as inference
import jetson.utils as utils

import cv2
import time

# Load the net with jetson inference
net1 = inference.detectNet("ssd-mobilenet-v2", threshold=0.5)

# Define video sources