Car Damage Detection System using AI
| Team ID | 86513 |
|---|---|
| Project Title | Car Damage Detection System |
| College Name | L. D. COLLEGE OF ENGINEERING, AHMEDABAD |
| Department | BE - Computer Engineering |
| Year | 2020 |
| Keyword | Artificial Intelligence, Machine Learning, Deep Learning, Image Processing, Damaged Car Detection, Insurance Claiming |
| Internal Guide | Prof. Pragnesh Patel |
- Mehta Bhavy
- Shah Keval
- Shah Het
- Shah Nigam
- Tamboli Rushabh
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Clone this repository.
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Create conda/pip vitrual environment with requirements.txt file.
- Required module versions are listed in that same file of you want to install manually. Earlier or later versions may not work.
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Unzip model.zip in the directory
LightSpeed\CDD\static\model.- Your directory should look like this:
LightSpeed\CDD\static\model │ car.h5 │ door.h5 │ front.h5 │ hood.h5 │ rear.h5 │ side.h5 │ window.h5 │ winshield.h5 │ └───bumper │ saved_model.pb │ ├───assets └───variables │ variables.data-00000-of-00002 │ variables.data-00001-of-00002 │ variables.index │ └───variables_temp_ea0f68758ae940398f50e26c2f256b68- Delete model.zip.001-015 files after successfully extracting model files.
- Your directory should look like this:
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Create empty folders as shown below
LightSpeed\CDD\static\upload ├───coldstorage │ ├───front │ ├───left │ ├───rear │ └───right └───predict ├───front │ └───a ├───left │ └───a ├───rear │ └───a └───right └───a- Make sure to create folders, otherwise program will throw errors.
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Now change directory to root folder
LightSpeedand executepython manage.py runserver -
Open http://127.0.0.1:8000 in your browser.
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Login or signup and upload your own car images or upload from given test image set from
LightSpeed\CDD\static\upload\testfolder.