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## Workflow Orchestration
### 1. Plan Node Default
- Enter plan mode for ANY non-trivial task (3+ steps or architectural decisions)
- If something goes sideways, STOP and re-plan immediately - don't keep pushing
- Use plan mode for verification steps, not just building
- Write detailed specs upfront to reduce ambiguity
### 2. Subagent Strategy
- Use subagents liberally to keep main context window clean
@yohhoy
yohhoy / cv2ff.cpp
Created August 4, 2021 16:27
Convert from OpenCV image and write movie with FFmpeg (OpenCV 4.5, FFmpeg 4.4)
/*
* Convert from OpenCV image and write movie with FFmpeg
*
* Copyright (c) 2021 yohhoy
*/
#include <iostream>
#include <vector>
// FFmpeg
extern "C" {
#include <libavformat/avformat.h>
@dvdhfnr
dvdhfnr / midas_loss.py
Last active December 18, 2025 07:11
Loss function of MiDaS
import torch
import torch.nn as nn
def compute_scale_and_shift(prediction, target, mask):
# system matrix: A = [[a_00, a_01], [a_10, a_11]]
a_00 = torch.sum(mask * prediction * prediction, (1, 2))
a_01 = torch.sum(mask * prediction, (1, 2))
a_11 = torch.sum(mask, (1, 2))
@Jim-Bar
Jim-Bar / YUV_formats.md
Last active February 6, 2026 10:09
About YUV formats

About YUV formats

First of all: YUV pixel formats and Recommended 8-Bit YUV Formats for Video Rendering. Chromium's source code contains good documentation about those formats too: chromium/src/media/base/video_types.h and chromium/src/media/base/video_frame.cc (search for RequiresEvenSizeAllocation(), NumPlanes() and those kinds of functions).

YUV?

You can think of an image as a superposition of several planes (or layers in a more natural language). YUV formats have three planes: Y, U, and V.

Y is the luma plane, and can be seen as the image as grayscale. U and V are reffered to as the chroma planes, which are basically the colours. All the YUV formats have these three planes, and differ by the different orderings of them.

@rxaviers
rxaviers / gist:7360908
Last active March 20, 2026 01:25
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