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CV_Interview_Codes
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CV_Interview_Codes
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# CV Interview Codes Minimal implementation codes of the modules that are frequently asked in CV interviews. ## Traditinal Algorithms ### Computational Geometry 1. Point in Polygon (PIP) ### Image Processing 1. [Gaussian Filter](image_processing/filter.py) ## Deep Learning ### Backbones 1. ViT + [Patch Embedding](network_module/vit/patch_embed.py) + [MultiHead Attention (MHA)](network_module/vit/attention.py) 2. Swin Transformer + Window Partition + Window-based MHA + Shifted Window-based MHA ### Object Detection 1. [IoUs(IoU/GIoU/DIoU/CIoU) Loss](object_detection/iou_loss.py) 2. [NMS](object_detection/nms.py) ### Pose Estimation 1. [TopDown `generate_target`](pose_estimation/2d/top-down/generate_target.py) 2. Associative Embedding + loss + group ### Generative Network 1. Flow-based Generative Model + [RealNVP](generative_model/realnvp.py)
