[LAB 06 · 颜色干预：视图、投影与读出](/course/notebooks/7c4f531113d7473abc174e2e014e1340.html)

# 运行准备与结果身份 · 实现代码
[独立阅读](/course/notebook-blocks/e9570c227f07476e8290b9418319a6f2.html)
主线阅读与优先实验

真实RGB对比训练、唯一指定增强变化、h/z形状与颜色读出
展开完整实现代码
```
"""CPU image contrastive experiment. No class/color label enters pretraining."""
from pathlib import Path
import copy, hashlib, json, os, platform, time
import numpy as np
import torch
from torch import nn
from torch.nn import functional as F
from sklearn.neighbors import KNeighborsClassifier
from sklearn.linear_model import LogisticRegression
from sklearn.pipeline import make_pipeline
from sklearn.preprocessing import StandardScaler
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt

torch.set_num_threads(2)
SEED=20260922

SOURCE_SHA256='09bbb32bb5502db3535d89efec2045ffcd85c249b49f622390f12875060845d4'
print("source",SOURCE_SHA256,"torch",torch.__version__)
```