This repository contains code and resources related to a Computer Vision project focusing on Image Recognition, Optical Character Recognition (OCR), YOLO Object Detection, and various pretrained models.
pretrained_inceptionv3.py
: Python script for using the InceptionV3 model.inceptionv3.png
: Image related to InceptionV3.info.md
: Information about InceptionV3 model.
pretrained_resnet.py
: Python script for using the ResNet model.info.md
: Information about the ResNet model.
pretrained_vggnet16.py
: Python script for using the VGGNet16 model.pretrained_vggnet19.py
: Python script for using the VGGNet19 model.vggnet16.png
: Image related to VGGNet16.vggnet19.png
: Image related to VGGNet19.info.md
: Information about VGGNet models.
pretrained_xception.py
: Python script for using the Xception model.info.md
: Information about the Xception model.
tesseract_ocr_image.py
: Python script for performing OCR using Tesseract.temp_img.jpg
: Temporary image used for OCR.
image.py
: Python script for YOLO object detection on images.realtime_webcam.py
: Python script for real-time YOLO object detection using a webcam.video.py
: Python script for YOLO object detection on video.
- `yolov3.cfg`: YOLO configuration file.
- `yolov3.weights`: YOLO weights file.
testing/
: Directory containing sample images for testing various computer vision tasks.fox_sample1.png
fox_sample2.png
scene1.jpg
scene2.jpg
scene3.jpg
scene4.jpg
scene5.jpg
scene6.jpg
scene7.jpg
scene8.jpg
- Other image files:
cat_greyscale.jpg
,cat.png
,cat2.jpg
,test1.png
,test2.png
,test3.png
,test4.png
,test5.png
,test6.png
,test7.png
,test8.png
,test9.png
,test10.png
,car.jpg
.
video-sample.mp4
: Sample video file for testing video object detection.