|
from datasets.load import load_dataset |
|
import matplotlib.pyplot as plt |
|
import numpy as np |
|
|
|
|
|
|
|
dataset = load_dataset("cgarciae/point-cloud-mnist") |
|
dataset.set_format("np") |
|
|
|
|
|
|
|
X_train = dataset["train"]["points"] |
|
y_train = dataset["train"]["label"] |
|
X_test = dataset["test"]["points"] |
|
y_test = dataset["test"]["label"] |
|
|
|
|
|
|
|
figure = plt.figure(figsize=(10, 10)) |
|
for i in range(3): |
|
for j in range(3): |
|
k = 3 * i + j |
|
plt.subplot(3, 3, k + 1) |
|
idx = np.random.randint(0, len(X_train)) |
|
|
|
plt.title(f"{y_train[idx]}") |
|
plt.scatter(X_train[idx, :, 0], X_train[idx, :, 1]) |
|
|
|
plt.show() |
|
|
