63 lines
1.5 KiB
YAML
63 lines
1.5 KiB
YAML
# YOLO + SAM2 Video Processing Configuration
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input:
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video_path: "/path/to/input/video.mp4"
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output:
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directory: "/path/to/output/"
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filename: "processed_video.mp4"
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processing:
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# Duration of each video segment in seconds
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segment_duration: 5
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# Scale factor for SAM2 inference (0.5 = half resolution)
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inference_scale: 0.5
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# YOLO detection confidence threshold
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yolo_confidence: 0.6
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# Which segments to run YOLO detection on
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# Options: "all", [0, 5, 10], or [] for default (all)
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detect_segments: "all"
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models:
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# YOLO model path - can be pretrained (yolov8n.pt) or custom path
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yolo_model: "models/yolo/yolov8n.pt"
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# SAM2 model configuration
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sam2_checkpoint: "models/sam2/checkpoints/sam2.1_hiera_large.pt"
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sam2_config: "models/sam2/configs/sam2.1/sam2.1_hiera_l.yaml"
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video:
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# Use NVIDIA hardware encoding (requires NVENC-capable GPU)
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use_nvenc: true
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# Output video bitrate
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output_bitrate: "50M"
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# Preserve original audio track
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preserve_audio: true
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# Force keyframes for better segment boundaries
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force_keyframes: true
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advanced:
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# Green screen color (RGB values)
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green_color: [0, 255, 0]
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# Blue screen color for second object (RGB values)
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blue_color: [255, 0, 0]
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# YOLO human class ID (0 for COCO person class)
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human_class_id: 0
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# GPU memory management
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cleanup_intermediate_files: true
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# Logging level (DEBUG, INFO, WARNING, ERROR)
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log_level: "INFO"
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# Save debug frames with YOLO detections visualized
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save_yolo_debug_frames: true
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