คำแนะนำการฝังรูปภาพสำหรับ Python

import mediapipe as mp

BaseOptions = mp.tasks.BaseOptions
ImageEmbedder = mp.tasks.vision.ImageEmbedder
ImageEmbedderOptions = mp.tasks.vision.ImageEmbedderOptions
VisionRunningMode = mp.tasks.vision.RunningMode

options = ImageEmbedderOptions(
    base_options=BaseOptions(model_asset_path='/path/to/model.tflite'),
    quantize=True,
    running_mode=VisionRunningMode.IMAGE)

with ImageEmbedder.create_from_options(options) as embedder:
  # The embedder is initialized. Use it here.
  # ...
    

import mediapipe as mp

BaseOptions = mp.tasks.BaseOptions
ImageEmbedder = mp.tasks.vision.ImageEmbedder
ImageEmbedderOptions = mp.tasks.vision.ImageEmbedderOptions
VisionRunningMode = mp.tasks.vision.RunningMode

options = ImageEmbedderOptions(
    base_options=BaseOptions(model_asset_path='/path/to/model.tflite'),
    quantize=True,
    running_mode=VisionRunningMode.VIDEO)

with ImageEmbedder.create_from_options(options) as embedder:
  # The embedder is initialized. Use it here.
  # ...
    

import mediapipe as mp

BaseOptions = mp.tasks.BaseOptions
ImageEmbedderResult = mp.tasks.vision.ImageEmbedder.ImageEmbedderResult
ImageEmbedder = mp.tasks.vision.ImageEmbedder
ImageEmbedderOptions = mp.tasks.vision.ImageEmbedderOptions
VisionRunningMode = mp.tasks.vision.RunningMode

def print_result(result: ImageEmbedderResult, output_image: mp.Image, timestamp_ms: int):
    print('ImageEmbedderResult result: {}'.format(result))

options = ImageEmbedderOptions(
    base_options=BaseOptions(model_asset_path='/path/to/model.tflite'),
    running_mode=VisionRunningMode.LIVE_STREAM,
    quantize=True,
    result_callback=print_result)

with ImageEmbedder.create_from_options(options) as embedder:
  # The embedder is initialized. Use it here.
  # ...
    

import mediapipe as mp

# Load the input image from an image file.
mp_image = mp.Image.create_from_file('/path/to/image')

# Load the input image from a numpy array.
mp_image = mp.Image(image_format=mp.ImageFormat.SRGB, data=numpy_image)
    

import mediapipe as mp

# Use OpenCV’s VideoCapture to load the input video.

# Load the frame rate of the video using OpenCV’s CV_CAP_PROP_FPS
# You’ll need it to calculate the timestamp for each frame.

# Loop through each frame in the video using VideoCapture#read()

# Convert the frame received from OpenCV to a MediaPipe’s Image object.
mp_image = mp.Image(image_format=mp.ImageFormat.SRGB, data=numpy_frame_from_opencv)
    

import mediapipe as mp

# Use OpenCV’s VideoCapture to start capturing from the webcam.

# Create a loop to read the latest frame from the camera using VideoCapture#read()

# Convert the frame received from OpenCV to a MediaPipe’s Image object.
mp_image = mp.Image(image_format=mp.ImageFormat.SRGB, data=numpy_frame_from_opencv)
    

# Perform image embedding on the provided single image.
embedding_result = embedder.embed(mp_image)
    

# Calculate the timestamp of the current frame
frame_timestamp_ms = 1000 * frame_index / video_file_fps

# Perform image embedding on the video frame.
embedding_result = embedder.embed_for_video(mp_image, frame_timestamp_ms)
    

# Send the latest frame to perform image embedding.
# Results are sent to the `result_callback` provided in the `ImageEmbedderOptions`.
embedder.embed_async(mp_image, frame_timestamp_ms)