Python NumPy nanmean() function is used to compute the arithmetic mean or average of the array along a specified axis while ignoring NaN (Not a Number) values. If the array has a NaN value and you can find out the average without being influenced by the NaN value. The mean/average is...
Demo import matplotlib.pyplot as plt import numpy as np # 绘制普通图像 x = np.linspace(-1, ...
assertnp.array_equal(next_resp_full,resp4) 4545 4646 47- asyncio.run(test_inference_engine(MLXDynamicShardInferenceEngine(HFShardDownloader()),MLXDynamicShardInferenceEngine(HFShardDownloader()),"llama-3.2-1b",16)) 47+ asyncio.run(test_inference_engine(MLXDynamicShardInferenceEngine(NewShardDownloade...
import numpy as np import cv2 from ltr.dataset.depth_utils import get_frame from ltr.dataset.depth_utils import get_rgbd_frame class Got10k_depth(BaseVideoDataset): """ GOT-10k dataset. @@ -168,7 +168,7 @@ def _get_frame_path(self, seq_path, frame_id): def _get_frame(self, se...
array, base_point_2: np.array, top_point: np.array) -> float: """Return the height of a triangle defined by the input point vectors. Parameters --- base_point_1: np.ndarray a base point of the triangle, eg: [5, 3]. base_point_2: np.ndarray a base point of the triangle, e...
import numpy as np import torch import re try: def tensor2pil(x): return Image.fromarray(np.clip(255. * x.cpu().numpy().squeeze(), 0, 255).astype(np.uint8)) def pil2tensor(x): return torch.from_numpy(np.array(x).astype(np.float32) / 255.0).unsqueeze(0) def pil2mask(x):...
models import get_model_id 4 4 from pathlib import Path exo/inference/mlx/test_non_blocking.py +2-2 Original file line numberDiff line numberDiff line change @@ -2,15 +2,15 @@ 2 2 import time 3 3 import numpy as np 4 4 from exo.inference.mlx.sharded_inference_engine ...