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Udemy YOLO Automatic License Plate Detection and Extract text App

Torrent Info
Category Other
Added Tuesday 24th October 2023 01:49:41 AM (3 years ago)
Size4.0 GB
Peers0 Peers (0 Seeders and 0 leechers) update
Downloaded0 times
Uploaderfreecoursewb  Thank You  (0) Report Torrent 00/0
CommentsNone
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None
Tags English
Seeders0
Leechers0
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Torrent Files (4202)
FilenameSize
Get Bonus Downloads Here.url182 bytes
001 Introduction.mp421.8 MB
001 Introduction_en.srt5.9 KB
002 Project Architecture.mp412.5 MB
002 Project Architecture_en.srt3.4 KB
003 Install Anaconda Python.mp422.0 MB
003 Install Anaconda Python_en.srt2.9 KB
004 Install OpenCV and TensorFlow 2.x.mp418.8 MB
004 Install OpenCV and TensorFlow 2.x_en.srt3.0 KB
004 requirements.txt32 bytes
005 Download the Resources.html113 bytes
006 Facing Any issue with the Course here is the solution.mp446.5 MB
006 Facing Any issue with the Course here is the solution_en.srt7.7 KB
01_xml_to_csv.ipynb14.8 KB
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CONTRIBUTING.rst83 bytes
HISTORY.rst1.4 KB
LICENSE1.2 KB
MANIFEST.in300 bytes
Makefile520 bytes
README.rst9.6 KB
__init__.py0 bytes
README.md454 bytes
build-for-macos.sh724 bytes
build-for-pypi.sh680 bytes
build-ubuntu-binary.sh656 bytes
build-windows-binary.sh882 bytes
envsetup.sh1.5 KB
gitignore108 bytes
run-in-container.sh383 bytes
predefined_classes.txt145 bytes
demo.jpg56.9 KB
demo3.jpg89.1 KB
demo4.png2.7 MB
demo5.png3.1 MB
gitignore250 bytes
issue_template.md145 bytes
labelImg.py63.2 KB
__init__.py76 bytes
canvas.py25.3 KB
colorDialog.py1.3 KB
combobox.py965 bytes
constants.py668 bytes
create_ml_io.py3.7 KB
hashableQListWidgetItem.py784 bytes
labelDialog.py3.3 KB
labelFile.py6.2 KB
pascal_voc_io.py6.1 KB
settings.py1.2 KB
shape.py6.4 KB
stringBundle.py2.2 KB
toolBar.py1.2 KB
ustr.py532 bytes
utils.py2.6 KB
yolo_io.py4.6 KB
zoomWidget.py780 bytes
requirements-linux-python3.txt26 bytes
resources.qrc2.0 KB
app.icns8 bytes
app.png30.6 KB
app.svg1.6 KB
cancel.png2.1 KB
close.png3.0 KB
color.png1.4 KB
color_line.png2.3 KB
copy.png646 bytes
delete.png1.5 KB
done.png2.1 KB
done.svg21.7 KB
edit.png1.1 KB
expert1.png278 bytes
expert2.png335 bytes
eye.png1.2 KB
feBlend-icon.png7.9 KB
file.png765 bytes
fit-width.png1.3 KB
fit-window.png1.1 KB
fit.png2.2 KB
format_createml.png4.1 KB
format_voc.png786 bytes
format_yolo.png675 bytes
help.png1.5 KB
labels.png2.3 KB
labels.svg35.8 KB
new.png977 bytes
next.png29.6 KB
objects.png1.1 KB
open.png2.0 KB
open.svg17.8 KB
prev.png29.9 KB
quit.png1.9 KB
resetall.png3.6 KB
save-as.png2.7 KB
save-as.svg62.5 KB
save.png1.2 KB
save.svg29.9 KB
undo-cross.png2.0 KB
undo.png2.0 KB
verify.png3.0 KB
zoom-in.png1.1 KB
zoom-out.png1.0 KB
zoom.png1.1 KB
strings-zh-CN.properties2.1 KB
strings-zh-TW.properties2.0 KB
strings.properties2.1 KB
setup.cfg97 bytes
setup.py3.4 KB
gitignore9 bytes
test.512.512.bmp257.1 KB
test_io.py3.9 KB
test_qt.py310 bytes
test_settings.py782 bytes
test_stringBundle.py1.0 KB
test_utils.py713 bytes
臉書.jpg747 bytes
README.md3.0 KB
label_to_csv.py6.9 KB
travis.yml1.5 KB
labels.csv7.6 KB
02_Object_Detection.ipynb225.4 KB
03-Make Predictions.ipynb1.9 MB
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labels.csv7.6 KB
app.py750 bytes
deeplearning.py1.6 KB
object_detection.h5430.4 MB
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index.html1.6 KB
layout.html1.2 KB
001 Get the Data.mp418.6 MB
001 Get the Data_en.srt1.2 KB
002 Download Image Annotation Tool.mp422.8 MB
002 Download Image Annotation Tool_en.srt1.7 KB
003 Install Dependencies.mp440.3 MB
003 Install Dependencies_en.srt1.2 KB
004 Label Images.mp432.1 MB
004 Label Images_en.srt1.9 KB
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005 Challenges & Beyond the Scope of Course_en.srt12.5 KB
001 Install Visual Studio Code.mp438.8 MB
001 Install Visual Studio Code_en.srt4.6 KB
002 First Flask App.mp438.2 MB
002 First Flask App_en.srt6.5 KB
003 Render HTML Template.mp447.6 MB
003 Render HTML Template_en.srt7.9 KB
004 Import Boostrap.mp425.7 MB
004 Import Boostrap_en.srt3.2 KB
001 Download the Flask Web App for your Reference.html202 bytes
002 Create Web App.mp425.7 MB
002 Create Web App_en.srt3.8 KB
003 Footer.mp412.8 MB
003 Footer_en.srt2.2 KB
004 Template Inheritance.mp422.2 MB
004 Template Inheritance_en.srt3.3 KB
005 Upload Form in HTML.mp422.8 MB
005 Upload Form in HTML_en.srt3.8 KB
006 HTTP Method Upload File in Flask.mp456.7 MB
006 HTTP Method Upload File in Flask_en.srt8.6 KB
007 Integrate Deep Learning Object Detection Model.mp4141.7 MB
007 Integrate Deep Learning Object Detection Model_en.srt15.3 KB
008 Integrate Number Plate Detection and OCR to Flask App.mp466.9 MB
008 Integrate Number Plate Detection and OCR to Flask App_en.srt6.1 KB
009 Display Output in HTML Page.mp478.2 MB
009 Display Output in HTML Page_en.srt9.5 KB
010 Display Output in HTML Page part 2.mp471.2 MB
010 Display Output in HTML Page part 2_en.srt7.4 KB
app.py750 bytes
deeplearning.py1.6 KB
object_detection.h5430.4 MB
N66.jpeg88.9 KB
N69.jpeg383.1 KB
N66.jpeg3.7 KB
N69.jpeg7.1 KB
N121.jpeg212.8 KB
N207.jpeg75.7 KB
N66.jpeg88.2 KB
N69.jpeg380.5 KB
index.html1.6 KB
layout.html1.2 KB
001 Download the Resources.html225 bytes
002 Introduction to YOLO.mp413.7 MB
002 Introduction to YOLO_en.srt5.1 KB
003 Data Preparation for Yolo.mp474.8 MB
003 Data Preparation for Yolo_en.srt16.0 KB
003 yolo-data-preparation.ipynb16.1 KB
004 Preparing Images folder structure for YOLO.mp463.6 MB
004 Preparing Images folder structure for YOLO_en.srt12.4 KB
005 More Data.mp412.1 MB
005 More Data_en.srt1.2 KB
006 Create yaml file for YOLO data.mp43.4 MB
006 Create yaml file for YOLO data_en.srt1.5 KB
006 data.yaml83 bytes
007 Challenges in Training Yolo.mp48.7 MB
007 Challenges in Training Yolo_en.srt2.6 KB
008 Install and Setting up Google Colab.mp48.3 MB
008 Install and Setting up Google Colab_en.srt2.5 KB
009 Connect your notebook to GPU.mp415.2 MB
009 Connect your notebook to GPU_en.srt6.0 KB
010 Training YOLO model.mp447.2 MB
010 Training YOLO model_en.srt6.7 KB
011 Save YOLO Model for OpenCV compatible.mp425.6 MB
011 Save YOLO Model for OpenCV compatible_en.srt5.3 KB
012 Interpreting Results.mp429.1 MB
012 Interpreting Results_en.srt3.7 KB
013 Predicting Results from YOLO.mp426.3 MB
013 Predicting Results from YOLO_en.srt5.8 KB
013 best.onnx27.2 MB
013 yolo-predictions.ipynb8.0 KB
014 Predicting Results from YOLO Get Bounding Boxes.mp449.5 MB
014 Predicting Results from YOLO Get Bounding Boxes_en.srt11.0 KB
015 Predicting Results from YOLO Apply Non Maximum Suppression on Bounding Box.mp451.5 MB
015 Predicting Results from YOLO Apply Non Maximum Suppression on Bounding Box_en.srt10.3 KB
016 Predicting Results from YOLO Draw Bounding Box.mp446.0 MB
016 Predicting Results from YOLO Draw Bounding Box_en.srt8.9 KB
017 Clean the Code and Create Functions.mp476.9 MB
017 Clean the Code and Create Functions_en.srt9.8 KB
F1_curve.png84.5 KB
PR_curve.png76.2 KB
P_curve.png79.1 KB
R_curve.png79.9 KB
confusion_matrix.png85.9 KB
events.out.tfevents.1643635958.19669aa3ea3a.442.0838.0 KB
hyp.yaml372 bytes
labels.jpg215.7 KB
labels_correlogram.jpg270.6 KB
opt.yaml656 bytes
results.csv29.0 KB
results.png212.4 KB
train_batch0.jpg453.6 KB
train_batch1.jpg433.0 KB
train_batch2.jpg448.9 KB
val_batch0_labels.jpg391.7 KB
val_batch0_pred.jpg394.0 KB
val_batch1_labels.jpg375.9 KB
val_batch1_pred.jpg380.9 KB
val_batch2_labels.jpg396.8 KB
val_batch2_pred.jpg395.4 KB
best.onnx27.2 MB
best.pt13.8 MB
common.py2.3 KB
common.py.debug_pkl4.5 KB
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