Hi! Thank you for your work again. I have read #82 and #39 . Then, I did the following code and used predications.npy published on https://drive.google.com/drive/folders/1H1AFqSS8wr_YzwG2xWwAQHTfXN5Moxmx. But the result I got is quite different from groundtruth. I'm not sure where the problem is. Could you help me to solve it?
import numpy as np
import matplotlib.pyplot as plt
plt.switch_backend('agg')
data = np.load("predictions.npy")
for i in range(1,len(data)):
r = data[i - 1, 1]
data[i] = r[:, :3] @ data[i]
data[i, :, :, -1] = data[i, :, :, -1] + r[:, -1]
groundtruth = []
for i in range(0, 5):
x = data[0, i, 0, 3]
z = data[0, i, 2, 3]
groundtruth = np.append(groundtruth, [x, z])
for i in range(1, 1201):
x = data[i, 4, 0, 3]
z = data[i, 4, 2, 3]
groundtruth = np.append(groundtruth, [x, z])
g = groundtruth.reshape(1205, 2)
plt.scatter(g[:, 0], g[:, 1])
plt.savefig('09.jpg')
Hi! Thank you for your work again. I have read #82 and #39 . Then, I did the following code and used predications.npy published on https://drive.google.com/drive/folders/1H1AFqSS8wr_YzwG2xWwAQHTfXN5Moxmx. But the result I got is quite different from groundtruth. I'm not sure where the problem is. Could you help me to solve it?