auto plants is up about 50% from the low hit in the summer of 2009. Now GM ( GM), Fiat Chrysler and Ford ( F) are all solidly profitable with enough cash on hand to fund ambitious research and development programs aimed at producing the next generation of self-driving and electric cars. Later that year the federal government pumped additional cash into the industry through a cash-for-clunkers program that paid consumers to scrap their older cars and buy new ones. General Motors and Chrysler tumbled into bankruptcy, requiring a federal bailout to remain in business. Amid the Great Recession, annual auto sales plunged 21% to just 10.3 million cars sold, a 27-year low. The situation was much more dire in 2009, the last time the industry posted a year-over-year sales decline. Related: Sure the auto industry is transforming. "This is the first time this has happened since the inception of the industry more than 100 years ago."Īnd low unemployment, strong job growth and the benefits of the recently passed tax cut should help support sales going forward, even if there is another modest decline in 2018 as most forecasts predict. Despite the modest decline in 2017, "this will be the third consecutive year of 17-plus million sales," said Tom Libby, manager of industry analysis for IHS Markit. Overall sales are at a historically high level. The retail side (of sales to consumers) is still pretty strong." A lot of the decline is due to a drop in purchases by rental car companies. "The industry is still in very good shape.
"It's been an unprecedented run," said Michelle Krebs, senior industry analyst with AutoTrader, of the seven straight years of rising auto sales. Related: 2018 will be the year of the electric carĮven if U.S car sales are slipping, global auto sales in 2017 are expected to hit a record 94.5 million vehicles, up 2.5% when those final numbers are in next month, fueled by continued strong demand in China, which is the largest market for auto sales. columns assert isinstance ( root, str ), 'Invalid root path: for im in im_list : if isinstance ( im, Path ): path = str ( im. ' % faq ) def _absolute_pathify ( df, root = None, column = 'image' ): """Convert relative paths to absolute""" if root is None : return df assert column in df.
Autodata label install#
name = 'nt' : import_try_install ( 'pycocotools', win_url ) else : import_try_install ( 'pycocotools' ) except ImportError : faq = 'cocoapi FAQ' raise ImportError ( 'Cannot import or install pycocotools, please refer to %s.
Autodata label windows#
getLogger () def try_import_pycocotools (): """Tricks to optionally install and import pycocotools""" # first we can try import pycocotools try : import pycocotools as _ except ImportError : # we need to install pycootools, which is a bit tricky # pycocotools sdist requires Cython, numpy(already met) import_try_install ( 'cython' ) # pypi pycocotools is not compatible with windows win_url = 'git+' try : if os. Dataset except ImportError : TorchDataset = object torch = None logger = logging.
Dataset except ImportError : MXDataset = object mx = None try : import torch TorchDataset = torch. utils.bbox import bbox_xywh_to_xyxy, bbox_clip_xyxy try : import as ET except ImportError : import as ET try : import mxnet as mx MXDataset = mx. utils.filesystem import import_try_install from. """Dataset implementation for specific task(s)""" # pylint: disable=consider-using-generator import logging import os from pathlib import Path import warnings import numpy as np import pandas as pd import matplotlib.pyplot as plt from PIL import Image import cv2 from.
Autodata label how to#
How to Use ENAS/ProxylessNAS in Ten Minutes.Getting started with Advanced HPO Algorithms.Text Prediction - Customization and Hyperparameter Search.Text Prediction - Multimodal Table with Text.Object Detection - Prepare Dataset for Object Detector.Image Prediction - How to Use Your Own Datasets.Image Prediction - Search Space and Hyperparameter Optimization (HPO).Image Prediction - Properly load any image dataset as ImageDataset.Predicting Multiple Columns in a Table (Multi-Label Prediction).Multimodal Data Tables: Combining BERT/Transformers and Classical Tabular Models.Multimodal Data Tables: Tabular, Text, and Image.How to use AutoGluon for Kaggle competitions.Predicting Columns in a Table - In Depth.Predicting Columns in a Table - Quick Start.