ImageAnalyst is a library that simplifies image analysis. The library achieves this goal by standardizing the input and output vectors of a few machine learning models and by providing some high-level analysis algorithms.
The application requires:
The application has some extras that can be installed:
There is two ways to download and install the application.
You can download and install the application using PyPI. To do so, run the following command:
pip install image-analystYou can download the application on the downloads page. Then, you can install the application by running the following command:
pip install image_analyst-X.X.X-py3-none-any.whl(Note: The X.X.X must be replaced by the version that you want to install.)
This example allows you to track objects from your webcam. It requires the cv2 extra.
from image_analyst.cv2.utils import convert_image, create_frame_generator
from image_analyst.cv2.models import YoloV3OpenCV
from image_analyst.trackers import IOUTracker
import cv2
def report_callback(filename: str, current_size: float, total_size: float):
print("{} {:.2f}%".format(filename, current_size/total_size*100), end="\r", flush=True)
model = YoloV3OpenCV.coco(report_callback=report_callback)
tracking_function = IOUTracker(model)
with create_frame_generator(0) as frame_generator:
for frame in frame_generator:
converted_frame = convert_image(frame, model.supported_format, model.supported_dtype)
instances = tracking_function(converted_frame)
for instance in instances:
xmin, ymin, xmax, ymax = instance.bounding_box.as_tuple()
text = "{} {} {:.2f}".format(instance.id, instance.class_name, instance.score)
cv2.rectangle(frame, (xmin, ymin), (xmax, ymax), (0, 255, 0), 2)
cv2.putText(frame, text, (xmin, ymin), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 0), 2)
cv2.imshow("Tracking", frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
cv2.destroyAllWindows()All code is licensed for others under a MIT license (see LICENSE).
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