Color Utils Palette generation Material You Scheme Simple Colors Picking color from image Gradient creation (Mesh gradients too) Overlaying image with gradient Mixing Conversion Harmonies Shading Tone Curves applying Histograms RGB Brightness Camera Like RGB ...
utils import ( determine_ext, int_or_none, T, traverse_obj, txt_or_none, url_or_none, ) ... ... info_dict = {} # extract title and description if valid and not empty info_dict.update(traverse_obj(media_json, { 'title': ('title', T(txt_or_none)), 'description': ('...
(indices) from torch.utils.data.sampler import SubsetRandomSampler # With the indices randomly shuffled, # grab the first 20% of the shuffled indices, and store them in the training index list # grab the remainder of the shuffled indices, and store them in the testing index list # Given...
import torch import cv2 import numpy as np from ultralytics.yolo.data.augment import LetterBox from ultralytics.yolo.engine.results import Results from ultralytics.yolo.utils import ops from ultralytics.yolo.utils.plotting import Annotator, colors, save_one_box from ultralytics.nn.autobackend im...
[]forbatchintrain_loader:loss=model.training_step(batch)train_losses.append(loss)loss.backward()ifgrad_clip:nn.utils.clip_grad_value_(model.parameters(),grad_clip)optimizer.step()optimizer.zero_grad()lrs.append(get_lr(optimizer))sched.step()result=evaluate(model,val_loader)result['train_loss...
⋙ from liputils import make_residues_table ⋙ res = make_residues_table(df, liptype=one) These commands will produce the results table, stored in the res object. As the input table is not RefMet-compliant, it is necessary to call the function with the liptype =...
Specify the response body, and then select Import. As we did for the request body, we provide this information for you following the image, but it's typically provided in the API documentation. Example: JSON Copy { "documents": [ { "score": 0.0, "id": "string" } ], "errors": ...
importnumpyasnpimporttorchimporttorch.nnasnnfromtorchvisionimportdatasetsfromtorchvisionimporttransformsfromtorch.utils.data.samplerimportSubsetRandomSampler# Device configurationdevice=torch.device('cuda'iftorch.cuda.is_available()else'cpu') Copy Loading the Data ...
from textacy.text_utils import KWIC def kwic(doc_series, keyword, window=35, print_samples=5): def add_kwic(text): kwic_list.extend(KWIC(text, keyword, ignore_case=True, window_width=window, print_only=False)) kwic_list = [] doc_series.map(add_kwic) if print_samples is None or pr...
sudo apt-get install autoconf automake autotools-dev curl libmpc-dev libmpfr-dev libgmp-dev gawk build-essential bison flex texinfo gperf libtool patchutils bc zlib1g-dev -y git clone --recursive https://github.com/riscv/riscv-gnu-toolchain riscv-gnu-toolchain cd riscv-gnu-toolchain echo ...