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xray-pneumonia-detection-gui's Introduction

๐Ÿ’ป Hello World

Python OpenCV TensorFlow Kivy JavaScript Static Badge Static Badge

About Me ๐Ÿ™‹โ€โ™‚๏ธ

I'm really captivated by the incredible possibilities that technology offers and how it can shape our world. I'm particularly drawn to Computer Vision, where I get to dive into cool stuff like image processing, object detection, and image recognition. Besides that, I'm super excited about Deep Learning and love using frameworks like TensorFlow to create and train smart models.

Areas of Expertise ๐Ÿ’ช

  • ๐Ÿ“ท Computer Vision: My expertise in this domain involves working with libraries like OpenCV (cv2) to process images and videos, extract valuable insights, and implement various computer vision algorithms.

  • ๐Ÿ’ป Deep Learning: I have a strong foundation in Deep Learning, where I leverage TensorFlow to design and train sophisticated neural networks, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and more.

  • โšก Electronics: I have a great interest in electronics, and I enjoy tinkering with hardware components to create innovative projects.

  • ๐Ÿ’ก Arduino and Raspberry Pi: I am proficient in working with Arduino and Raspberry Pi, using them as platforms to develop interactive and smart applications.

  • ๐Ÿฅ Kivy / KivyMD: As an experienced developer in the Kivy framework, I also create interactive and cross-platform applications with rich user interfaces.

Other Skills โš™๏ธ

Aside from my specialization in Computer Vision and Deep Learning, I possess networking skills that allow me to develop efficient and secure systems. Moreover, my proficiency in Linux enables me to work in a versatile and command-line-friendly environment.

GitHub Projects ๐Ÿš€

On my GitHub account, you will find a collection of projects, ranging from small experiments to fully-fledged applications. I am constantly learning and evolving, and I aim to share my knowledge with the community through well-documented and well-structured repositories.

Collaboration ๐Ÿ‘ฅ

I am open to collaborations and welcome any contributions, suggestions, or feedback on my projects.

If you find any of my work interesting or wish to collaborate on a new venture, feel free to reach out to me.

xray-pneumonia-detection-gui's People

Contributors

giyu51 avatar

Watchers

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Forkers

hari4742

xray-pneumonia-detection-gui's Issues

OSError: [WinError 123] The filename, directory name, or volume label syntax is incorrect Error when click on Export Button

When clicked on the export button, I got the following error.

exprt_err

After debugging I understood that the image is not being created in the first place and we are trying to remove an image that doesn't exist.

The reason why the image is being created is in the imwrite function we are passing the file name which is formatted as shown below

self.current_date = self.modules_datetime.datetime.now().strftime("%d-%m-%Y_%H:%M:%S") in btnExportResults function in main-GUI.py file

but, filenames with : are invalid on windows.

Suggested Fix:
Remove colon from the file name as shown below
self.current_date = self.modules_datetime.datetime.now().strftime("%d-%m-%Y_%H%M%S")

TypeError: Properties ['text'] passed to __init__ may not be existing property names. Valid property names are ...

After setting up the project per instructions, When we drop the image the widow closes immediately with the terminal showing the following error:

err_kivymd

The error originated from the Snackbar component where we were passing the text key to it. This is because kivymd module have some changes from version 1.1.1 to 1.2.0 as shown here

The module versions are:
kivy: 2.3.0
kivymd: 1.2.0

Suggested Fix:

Update replace of instances for Snackbar component as per the latest version i.e. 1.2.0 in the main-GUI.py file

Existing Code:

Snackbar(text="...").open()

Code to fix the issue:

MDSnackbar(MDLabel(text="...")).open()

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