medium microcontroller blog post upload to ximilar.com

micro_upload.py

import os
import csv

from ximilar.client import DetectionClient


client = DetectionClient("__YOUR_API_TOKEN__")

# mapping of your ids
labels = {
  "ARDUINO": "8cfe23b5-30b3-4480-821e-bf58fe9eb3bd",
  "ESP8266": "d113c969-a58c-4c3c-a5f9-31e038a9f488",
  "HELTEC": "3fece1eb-5769-4f38-af78-95671de8c235",
  "RASPBERRY": "3d989abc-8ad9-4f30-8ef6-354c97418220"
}

images = {}

with open('train_labels.csv', newline='') as f:
    reader = csv.reader(f)
    for i, row in enumerate(reader):
        if i == 0:
            continue

        name, _, _, label, xmin, ymin, xmax, ymax = row
        label = label.split("_")[0].upper()
        label = labels[label]
        if name in images:
            image_id = images[name]
        else:
            uploadi, _ = client.upload_images([{"_file": os.path.join("train", name), "noresize": True}])
            images[name] = uploadi[0].id
            image_id = images[name]

        d_object, status = client.create_object(label, image_id, [xmin, ymin, xmax, ymax])