vlms / hf-db-test.py
BoltzmannEntropy
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from datasets import load_dataset
import matplotlib.pyplot as plt
# Specify dataset and number of images to load
dataset_name = "OpenGVLab/CRPE" # Can switch to "OpenGVLab/CRPE"
num_images = 2 # Specify the number of images you want to load
# Load the dataset
dataset = load_dataset(dataset_name, split='train')
# Check if the dataset is 'OpenGVLab/CRPE' or 'gokaygokay/panorama_hdr_dataset' and handle accordingly
for i in range(num_images):
if dataset_name == "gokaygokay/panorama_hdr_dataset":
img = dataset[i]["png_image"] # Access image for this dataset
elif dataset_name == "OpenGVLab/CRPE":
img = dataset[i]["image"] # Access image for 'OpenGVLab/CRPE'
# Display the image
plt.imshow(img)
plt.title(f"Image {i+1}")
plt.axis('off') # Hide axes for better visualization
plt.show()