Object Detector Using SDK - Upload, Train and Test the Model

import json
base_image_location = "CourseAssets/ObjectDetection/Images"
base_data_location = "CourseAssets/ObjectDetection/"
with open(base_data_location + "object_data.json") as data:
    obj_data = json.loads(data.read())
tagged_images_with_regions = []
for file_name in obj_data["fork_image_regions"].keys():
    left, top, width, height = obj_data["fork_image_regions"][file_name]
    regions = [Region(tag_id = fork_tag.id, left = left, top = top, width = width, height = height)]
    with open(base_image_location + "/fork/" + file_name + ".jpg", mode="rb") as fork_image:
        tagged_images_with_regions.append(
                ImageFileCreateEntry(
                    name = file_name, 
                    contents = fork_image.read(), 
                    regions = regions
                    )
                )
for file_name in obj_data["scissors_image_regions"].keys():
    left, top, width, height = obj_data["scissors_image_regions"][file_name]
    regions = [Region(tag_id = scissors_tag.id, left = left, top = top, width = width, height = height)]
    with open(base_image_location + "/scissors/" + file_name + ".jpg", mode = "rb") as scissor_image:
        tagged_images_with_regions.append(
                ImageFileCreateEntry(
                    name = file_name, 
                    contents = scissor_image.read(), 
                    regions = regions
                    )
                )
upload_result = trainer.create_images_from_files(
                            project.id, 
                            ImageFileCreateBatch(
                                images = tagged_images_with_regions
                            )
                        )
if not upload_result.is_batch_successful:
    print("Image batch upload failed.")
    for image in upload_result.images:
        print("Image status: ", image.status)
else:
    print("Images uploaded Successfully.")