LiUzHiAn
/ cgm-gdm-sdm.py
Last active
November 11, 2020 01:20
Conjugate gradient method, gradient descent method and steepest descent method implementation using python
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| import numpy as np | |
| import time | |
| from scipy.sparse.linalg import cg | |
| import matplotlib.pyplot as plt | |
| from matplotlib.pyplot import cm | |
| def f(x, A, b, c): | |
| return 0.5 * np.dot(x.T, np.dot(A, x)) - np.dot(b.T, x) + c |
LiUzHiAn
/ inference_with_probs.py
Last active
December 20, 2023 11:21
Get class probabilities for each detection during MMDetection inference phase
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| import copy | |
| import cv2 | |
| import torch.nn.functional as F | |
| import os.path as osp | |
| import glob | |
| import numpy as np | |
| import torch | |
| from mmdet.apis import init_detector, inference_detector | |
| from mmcv.parallel import collate, scatter | |
| from mmcv.ops.nms import batched_nms |