I need someone to add the following to my code:
1. Use a fast SSD/NVMe or RAM disk (/dev/shm) to avoid disk bottlenecks.
Video processing involves heavy disk read/write operations, which can slow down if you're using a traditional HDD. Using an SSD or NVMe greatly reduces latency, while storing temporary files in RAM (/dev/shm) eliminates disk I/O delays, making processing significantly faster.
2. Enable GPU-based decoding & encoding (-hwaccel cuda/qsv/vaapi).
By default, FFmpeg uses the CPU for decoding and encoding, which can be slow. Enabling GPU acceleration offloads these tasks to the graphics card, significantly speeding up both decoding (-hwaccel cuda/qsv/vaapi) and encoding (h264_nvenc, hevc_nvenc, etc.), while also reducing CPU usage.
3. Use multi-threading (-threads 0, -filter_threads).
FFmpeg allows multi-threading for both encoding and filtering, making better use of multi-core CPUs. Using -threads 0 lets FFmpeg automatically allocate the optimal number of threads, while -filter_threads improves performance when applying filters (like scaling or overlays).
4. Use parallel processing (parallel -j 4 or ffmpeg concat).
Instead of processing one video at a time, you can speed up workflows by running multiple FFmpeg instances in parallel (parallel -j 4). For merging videos, using ffmpeg concat avoids unnecessary re-encoding, making the process nearly instantaneous.
5. Use GPU-based filters instead of CPU (scale_cuda).
Filters like resizing (scale), cropping, and color adjustments can be offloaded to the GPU for massive speed improvements. Instead of using CPU-based scaling (scale), switching to scale_cuda or scale_npp reduces processing time while keeping high quality.
6. Use fast I/O formats (mjpeg, mkv, concat).
Some formats are faster to process than others—MJPEG is excellent for quick frame extraction, while MKV is efficient for encoding. Using ffmpeg concat to merge files instead of re-encoding avoids unnecessary processing and speeds up the final output.
7. Reduce encoding complexity (-preset ultrafast, -tune fastdecode).
The more complex the encoding, the longer it takes. Using faster presets (-preset ultrafast) sacrifices some compression efficiency for speed, while -tune fastdecode prioritizes quick playback rather than reducing file size.
8. Pre-allocate buffers (-bufsize 10M).
FFmpeg dynamically allocates buffers during processing, but frequent resizing can slow things down. Using -bufsize 10M pre-allocates memory for video data, ensuring smooth and fast encoding without unnecessary overhead.
9. Profile performance (-benchmark, nvidia-smi dmon).
Before optimizing, it's crucial to identify bottlenecks—-benchmark provides detailed speed insights into each processing step, while nvidia-smi dmon helps monitor GPU utilization. This allows you to tweak settings for maximum efficiency.
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