Jarosław Gilewski jagin

Full Stack Engineer and AWS Certified Specialist focused on Deep Learning and Computer Vision solutions.

jagin / test_face_detector.py

Last active November 9, 2019 12:43

Face detector test (see: https://medium.com/deepvisionguru/video-processing-pipeline-with-opencv-ac10187d75b)

	import os
	import cv2

	from pipeline.libs.face_detector import FaceDetector
	import tests.config as config


	class TestFaceDetector:
	def test_face_detector(self):
	prototxt = os.path.join(config.MODELS_FACE_DETECTOR_DIR, "deploy.prototxt.txt")

jagin / detect_faces.py

Last active December 15, 2023 14:15

Detect faces pipeline task (see: https://medium.com/deepvisionguru/video-processing-pipeline-with-opencv-ac10187d75b)

	from pipeline.pipeline import Pipeline
	from pipeline.libs.face_detector import FaceDetector

	class DetectFaces(Pipeline):
	def __init__(self, prototxt, model, batch_size=1, confidence=0.5):
	self.detector = FaceDetector(prototxt, model, confidence=confidence)
	self.batch_size = batch_size

	super(DetectFaces, self).__init__()

jagin / face_detector.py

Last active November 9, 2019 12:43

Face detector class (see: https://medium.com/deepvisionguru/video-processing-pipeline-with-opencv-ac10187d75b)

	import cv2
	import numpy as np

	class FaceDetector:
	def __init__(self, prototxt, model, confidence=0.5):
	self.confidence = confidence

	self.net = cv2.dnn.readNetFromCaffe(prototxt, model)

	def detect(self, images):

jagin / capture_video.py

Last active February 24, 2023 13:19

Pipeline generator task capturing video frames (see: https://medium.com/deepvisionguru/video-processing-pipeline-with-opencv-ac10187d75b)

	import cv2
	from pipeline.pipeline import Pipeline

	class CaptureVideo(Pipeline):
	def __init__(self, src=0):
	self.cap = cv2.VideoCapture(src)
	if not self.cap.isOpened():
	raise IOError(f"Cannot open video {src}")

	self.fps = int(self.cap.get(cv2.CAP_PROP_FPS))

jagin / process_images_pipeline.py

Last active October 25, 2019 15:14

	import os

	from pipeline.load_images import LoadImages
	from pipeline.cascade_detect_faces import CascadeDetectFaces
	from pipeline.save_faces import SaveFaces
	from pipeline.save_summary import SaveSummary
	from pipeline.display_summary import DisplaySummary

	def parse_args():
	import argparse

jagin / cascade_detect_face.py

Last active October 21, 2019 13:49

	import cv2

	from pipeline.pipeline import Pipeline

	class CascadeDetectFaces(Pipeline):
	def __init__(self, classifier):
	# load the face detector
	self.detector = cv2.CascadeClassifier(classifier)

	super(DetectFaces, self).__init__()

jagin / load_images.py

Last active October 21, 2019 13:49

	import cv2

	from pipeline.pipeline import Pipeline
	import pipeline.utils as utils

	class LoadImages(Pipeline):
	def __init__(self, src, valid_exts=(".jpg", ".png")):
	self.src = src
	self.valid_exts = valid_exts

jagin / pipeline.py

Last active October 21, 2019 13:48

	class Pipeline(object):
	def __init__(self):
	self.source = None

	def __iter__(self):
	return self.generator()

	def generator(self):
	while self.has_next():
	data = next(self.source) if self.source else {}

jagin / process_images.py

Last active October 9, 2020 12:34

Simple image processing pipeline for face detection and extraction (see https://medium.com/deepvisionguru/modular-image-processing-pipeline-using-opencv-and-python-generators-9edca3ccb696)

	import cv2
	import os
	import json
	import numpy as np

	def parse_args():
	import argparse

	# Parse command line arguments
	ap = argparse.ArgumentParser(description="Image processing pipeline")