Update README.md with WSL display settings #600
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Reviewer's Guide by SourceryThis pull request introduces significant updates to the Deep Live Cam project, including new features like face mapping, color correction, and NSFW filtering. The changes span across multiple files, enhancing the UI, adding new functionalities, and improving the overall structure of the project. File-Level Changes
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Hey @david-biro - I've reviewed your changes and found some issues that need to be addressed.
Blocking issues:
- Hardcoded URL found in the code. (link)
Overall Comments:
- Consider improving error handling in face analysis functions and breaking down complex functions for better maintainability.
- The CONTRIBUTING.md file is a good addition, but could be expanded with more detailed guidelines for contributors.
Here's what I looked at during the review
- 🟡 General issues: 4 issues found
- 🔴 Security: 1 blocking issue
- 🟢 Testing: all looks good
- 🟢 Complexity: all looks good
- 🟢 Documentation: all looks good
Help me be more useful! Please click 👍 or 👎 on each comment to tell me if it was helpful.
modules/ui.py
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| class DragDropButton(ModernButton): |
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suggestion: Consider adding error handling for drag and drop functionality
While the drag and drop feature is a good addition, it's important to handle potential errors that may occur during file drops. Consider adding try-except blocks to catch and handle exceptions, providing user feedback for invalid drops.
class DragDropButton(ModernButton):
def __init__(self, master, **kwargs):
super().__init__(master, **kwargs)
self.drop_target_register(DND_FILES)
self.dnd_bind('<<Drop>>', self.on_drop)
def on_drop(self, event):
try:
file_path = event.data
# Handle the dropped file
except Exception as e:
messagebox.showerror("Error", f"Invalid drop: {str(e)}")
modules/face_analyser.py
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| return None | ||
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| def get_unique_faces_from_target_video() -> Any: |
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suggestion (performance): Consider optimizing video frame processing for large videos
The current implementation processes every frame of the video, which could be inefficient for large videos. Consider implementing a frame sampling strategy or using a more efficient method to extract unique faces without processing every single frame.
def get_unique_faces_from_target_video(sample_rate: int = 1) -> List[np.ndarray]:
faces = []
video = cv2.VideoCapture(modules.globals.target_path)
frame_count = 0
while video.isOpened():
ret, frame = video.read()
if not ret:
break
if frame_count % sample_rate == 0:
detected_faces = detect_faces(frame)
faces.extend(detected_faces)
frame_count += 1
return list(set(faces))
| @@ -61,26 +66,109 @@ def process_frame(source_face: Face, temp_frame: Frame) -> Frame: | |||
| return temp_frame | |||
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| def process_frame_v2(temp_frame: Frame, temp_frame_path: str = "") -> Frame: | |||
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suggestion: Consider refactoring process_frame_v2 into smaller functions
The process_frame_v2 function has become quite complex with multiple nested conditions. Consider breaking it down into smaller, more focused functions to improve readability and maintainability. This will also make the code easier to test and debug.
def process_frame_v2(temp_frame: Frame, temp_frame_path: str = "") -> Frame:
return _process_frame_core(temp_frame, temp_frame_path)
def _process_frame_core(temp_frame: Frame, temp_frame_path: str) -> Frame:
if is_image(modules.globals.target_path):
return _process_image(temp_frame, temp_frame_path)
return _process_video(temp_frame)
modules/capturer.py
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| capture.set(cv2.CAP_PROP_FOURCC, cv2.VideoWriter_fourcc(*'MJPG')) | ||
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| # Only force RGB conversion if color correction is enabled | ||
| if modules.globals.color_correction: |
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suggestion (performance): Consider optimizing color correction for better performance
The addition of color correction is a good feature, but it might impact performance, especially for video processing. Consider optimizing this operation, possibly by using more efficient color space conversion methods or by applying the correction selectively.
modules/ui.py
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| donate_label.pack(side="left", expand=True) | ||
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| donate_label.bind( | ||
| "<Button>", lambda event: webbrowser.open("https://paypal.me/hacksider") |
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🚨 issue (security): Hardcoded URL found in the code.
Consider using a configuration file or environment variable to store URLs, especially if they might change or need to be customized for different environments.
david-biro
changed the title
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david-biro:wsl_display_readme |
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gh pr checkout 600 |
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Please always push on the experimental to ensure we don't mess with the main branch. All the test will be done on the experimental and will be pushed to the main branch after few days of testing. |
1 similar comment
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Please always push on the experimental to ensure we don't mess with the main branch. All the test will be done on the experimental and will be pushed to the main branch after few days of testing. |
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README.md |
1 similar comment
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README.md |
A note added to README.md into "Installation (Manual)" chapter about how to configure DISPLAY variable depending on Windows or WSL version.
Summary by Sourcery
Enhance the UI with drag-and-drop functionality and a resizable preview window. Introduce face mapping and webcam support on WSL2. Update documentation with installation and usage instructions. Refactor code for better organization and performance.
New Features:
ModernButtonfor consistent button styling across the UI.Enhancements:
process_frame_v2for handling multiple faces and mapping.Documentation:
CONTRIBUTING.mdfile to guide contributors on the workflow.