问使用多处理功能有效地切片和读取图像

EN

import numpy as np
import ray

ray.init()

@ray.remote
def do_object_detection(image, index):
    image_slice = image[index]
    # Do object detection.
    return 1

# Store the object in shared memory.
image = np.ones((1000, 1000))
image_id = ray.put(image)

# Process the slices in parallel. You probably want to use 2D slices instead
# of 1D slices.
result_ids = [do_object_detection.remote(image_id, i) for i in range(1000)]
results = ray.get(result_ids)

import numpy as np
import ray

ray.init()

@ray.remote
def do_object_detection(filename):
    # Load the file and process it.
    return 1

filenames = ['file1.png', 'file2.png', 'file3.png']

# Process all of the images.
result_ids = [do_object_detection.remote(filename) for filename in filenames]
results = ray.get(result_ids)