rav1e 0.6 efficiency

plot.py

import seaborn as sns
import numpy as np
import matplotlib.pyplot as plt

v5_1 = np.array([
    [18.2344,0.8817],
    [7.6955,0.8927],
    [3.4063,0.9219],
    [2.1284,0.9350],
    [1.6182,0.9551],
    [1.4241,0.9646],
    [1.0000,1.0000],
    [1.0036,1.0013],
    [1.0031,1.0056],
    [0.7193,1.3452],
    [0.3498,1.5710]
])

v6 = np.array([
    [19.1387,0.8369],
    [6.9775,0.8448],
    [3.1845,0.8696],
    [1.7334,0.8990],
    [1.2711,0.9187],
    [1.2164,0.9284],
    [0.8085,0.9668],
    [0.8302,0.9682],
    [0.8106,0.9721],
    [0.5656,1.3116],
    [0.2997,1.5070],
])

fig, ax = plt.subplots(figsize=(16,9))
ax.plot(*(1/v5_1).T,'o-', label='v0.5.1')
ax.plot(*(1/v6).T, 'o-', label='p20220913')
for i in range(11):
    ax.annotate(i, (1/v5_1)[i], (1/v5_1)[i]+.005)
    ax.annotate(i, (1/v6)[i], (1/v6)[i]+.005)

ax.set_xlabel('Faster ⟶\nRelative speed')
ax.set_ylabel('Relative compression\nSmaller ⟶')
plt.legend()
plt.show();

rav1e_v5.1_vs_v6.ipynb

v0.5.1 vs p20220913.csv