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Easyocr gpu

Easyocr gpu. EasyOCR, as the name suggests, is a Python package that allows computer vision developers to effortlessly perform Optical Character Recognition. Theres something wrong with pytorch in easyocr package. import matplotlib. user_network_directory (string): Path to directory for custom network architecture. You can then set the GPU parameter of the Reader class to True. pth" and "english_g2. Is there a way to silence this message to get clean output? Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc. where workdir is the directory contianing Jul 28, 2020 · When it comes to speed, Tesseract is more favorable on a CPU machine, but EasyOCR runs extremely fast on a GPU machine. Run the dockerfile. #1239 opened on Apr 1 by LindaEr. Then your command prompt interface will be like: 2. If not specified, it is as defined by the environment variable EASYOCR_MODULE_PATH (preferred May 25, 2023 · In case you do not have a GPU, or your GPU has low memory, you can run the model in CPU-only mode by adding gpu=False. 9. use a pip package, 2. import easyocr #pip install easyocr. Nov 23, 2023 · EasyOCR: ディープラーニングに基づく別の人気OCRツール。 認識テストに用いた画像. I was able to install it like that, but neither VSCode or IDLE are Jul 12, 2020 · I named by file as easyocr. png') 描述: EasyOCR 支持两种方式运行一种是常用的CPU，而另外一种是需要GPU支持并且需安装CUDA环境, 我们使用其可以进行图片中语言文字识别, 例如小程序里图片识别、车辆车牌识别 ( 即车债管理系统 )。. And amazingly, it detects the text accurately for both languages. \translate_manhua. Reader(['ch_sim','en'], gpu=False) EasyOCR also offers to specify different languages in reader but not all languages can be used together. 5. jpg--detail = 1--gpu = True Train/use your own model Discover how to use EasyOCR and BentoML to create an efficient OCR application. Abre el archivo datasmarts/run_ocr. I is also a day Jan 6, 2022 · It's telling you why it's very slow - the method used by easyocr relies on computations that are relatively fast on a GPU, but slow on a CPU (a GPU can do thousands of computations in parallel, where a CPU has to go through them in order) – EasyOCR OSS; Pricing; About Us; Contact; Log in; Sign up; Log in; Create new account; Log in with your username and password. 借助几个简单的API，即能使用Java语言调用 Tesseract-OCR 引擎完成图片内容识别工作。. Step 1: Choose image file. " for each iteration. Reader(['ch_sim','en'], gpu = False) For more information, read tutorial and API Documentation. time () result = reader_ar. For example, reader = easyocr. png') Output: CUDA not available - defaulting to CPU. RuntimeError: CUDA error: the launch timed out and was terminated. I've been using the library's default detection and recognition models, but now I want to integrate my own custom detector and transformer-based recognition models. For user with multiple GPUs, you can also specify which one you want to use here, for example gpu='cuda:0'. May 27, 2021 · However easyOCR usage is pretty rare and the task is very small in comparison to TF models inference. Specifically, read the "Docker Default Runtime" section and make sure Nvidia is the default docker runtime daemon. ドキドキ文芸部より. py, e inserta estas líneas para importar las dependencias del programa: # Importamos las dependencias del script. In case you do not have GPU or your GPU has low memory, you can run it in CPU mode by adding gpu = False. /inputs/chinese. EasyOCR/model 目录) easyocr은 80개 이상의 언어를 지원하는 ocr 오픈소스입니다. img = cv2. gpu (bool, string, default = True) - enable GPU; model_storage_directory (string, default = None) - Path to directory for model data. this problem confused me an hour. Possible Language Code Combination: Languages sharing the Dec 8, 2023 · This model should already be in your . Aug 10, 2020 · In case you do not have GPU or your GPU has low memory, you can run it in CPU mode by adding gpu = False. Type "help", "copyright", "credits" or "license" for more information. Reader(['en','fr'], recog_network='latin_g1') will use the 1st generation Latin model; List of all models: Model hub; Read all release notes Mar 1, 2023 · In case you do not have a GPU, or your GPU has low memory, you can run the model in CPU-only mode by adding gpu=False. env) PS E:\TMP&gt; nvidia-smi Tue I am trying to speed up easyocr as much as possible for extraction of digits without using a faster gpu, currently I'm using easyocr with GPU with a small image, no localization just detection/extraction, I get the result in 0. Win11 • Mac • Linux • PyTorch • GPU • CPU. Importing Libraries. 1 participant. It says it didn't find CUDA, so it defaults to cpu. , and then, in the task manager, the increased load on the CPU is displayed, instead of the increased load on the GPU. これでライブラリがインストールされます。次に試しやすいようにいろいろな言語の写真サンプルが用意されていますのでダウンロードします。!npx degit JaidedAI/EasyOCR/examples -f Jan 4, 2022 · import easyocr reader = easyocr. EasyOCR/model' folder. This step-by-step tutorial walks you through building, packaging, and deploying a simple OCR model, making text extraction from images a breeze. import os. 3. What can I do to solve that? CUDA not available - defaulting to CPU. pth model is the text detection model which extracts bounding boxes in the image that contains text and the english_g2. imread(IMAGE_PATH) languages = ['en'] reader = Reader(languages, gpu = False) results = reader Feb 6, 2024 · 之前用过easyOCR进行图片文字识别，挺好用，而且还使用了GPU进行解算。 时隔一年，居然在新电脑上重新搭建时，遇到了困难。 因此写这篇日志记录自己的失败经历。 EasyOCR will choose the latest model by default but you can also specify which model to use by passing recog_network argument when creating a Reader instance. If you have only a few boxes in the image, it will be slower because there's a head start for parallelization. Figure 2 shows the operations in the EasyOCR framework. In case you do not have a GPU, or your GPU has low memory, you can run the model in CPU-only mode by adding gpu=False. List of supported language code is here. 4会自动下载安装，回头有时间可以试一下），使用pip安装的命令是： pip install easyocr. Jul 5, 2021 · I just installed and wanted to start with the readme example, however failed when it tries to download the detection model. Examples. Reader(['en']) result = reader. the NCv2 or NCv3 can get it to work with the latest Breaking up the easyocr command-- easyocr -l ch_sim en -f . However during runtime, it uses system memory (RAM) more than video memory (VRAM). Step 2: Enter Language Codes (use comma-separated for multiple languages e. com Title: Using EasyOCR with GPU Acceleration in Python: A Step-by-Step TutorialIntroduction:EasyOCR is a powerful Jul 31, 2020 · Maybe the requests library should be automatically installed together with easyocr? Traceback from my program: Traceback (most recent call last): File ". File size limit: 2 Mb. If not specified, models will be read from Apr 23, 2020 · I'm have a PC with 2 GPU, the first is pretty bad and has very little memory and isn't very powerful, but the second one doesn't have that problem. But when Python / Torch Multiprocessing is invoked, so that the multiple folders are read in parallel, EasyOCR is defaulting to CPU Learn how to install EasyOCR on your system here. Reader (['ch_sim', 'en'], gpu = False) For more information, read tutorial and API Documentation. I am using the CUDA Toolkit 12. Then get a hold of an image you want to do OCR on: img_path = "ReceiptData/1. May 25, 2023 · In case you do not have a GPU, or your GPU has low memory, you can run the model in CPU-only mode by adding gpu=False. Any suggestions on what should I check/do differently to make easyocr work on machine with only cpu? Jun 5, 2022 · I also tried searching for Greek language model related to easyocr but could not find any. It is stuck, makes no progress, it's been waiting like that for more than 1 hour. cv2. All you need is to add another language code inside the easyocr. Actually if your image is without noise, uniform background and horizontal like this + you don't use GPU, this is the case where tesseract might be a better solution than us. " You can set detail=0 for simpler output: result = read. Note: This module is much faster with a GPU. EasyOCR folder under C:\Users\<username>\. Reader(['en']) # multiple languages (chinese, english) reader = easyocr. Jul 11, 2020 · Colabを開いて、ランタイムをGPUにしてから作業を進めます。!pip install easyocr --no-deps. No milestone. However, I tried all versions of easyocr, but every time I import it, the kernel died. Aug 15, 2020 · I today started to try to use EasyOCR. CUDA not available - defaulting to CPU. Reader ( ['ar'], gpu=True) while True: st=time. Nov 22, 2023 · Thanks for contributing an answer to Stack Overflow! Please be sure to answer the question. imread('test. -" , is there any model for numbers only similar like tesseract "digits" config file? Apr 4, 2022 · import easyocr # specify languages and other configs reader = easyocr. I have two versions. reader = easyocr. readtext('test. 7. 10). To use a GPU with EasyOCR, you must install the CUDA toolkit and cuDNN library on your computer. jpg --detail=1 --gpu=True Train/use your own model Aug 10, 2022 · The bottom line is this: I need to be able to read the text of a frame (not an image) that has been rotated 90 degrees without (if possible) writing it as an image first. Reader(['en'], gpu=False) If not specified, models will be read from a directory as defined by the environment variable EASYOCR_MODULE_PATH (preferred), MODULE_PATH (if defined), or ~/. WeiyiGeek. それぞれの実行ソースは、Colabノートブックにまとめていますので、ご確認ください。 前処理、オプション等はしていないので、結果は参考までに。 2023/04/28 追記 GPUでの測定を追加して表にまとめました。 EasyOCRのCPUはかなり遅いけど、GPUは爆速 May 5, 2023 · After installing the PyTorch library successfully it’s quite easy to install the EasyOCR library, one just has to run the following command: pip3 install easyocr. 3 Add set Feb 1, 2024 · Explore Passport Recognition With EasyOCR and OpenCV. Python-based OCR tool using EasyOCR and OpenCV for automated text extraction from images. May 23, 2022 · I had this same issue, and the fix for me was uninstalling Pytorch and installing the Nightlys version with CUDA 12. ” I am running OpenCV version 4. Feb 9, 2022 · With EasyOCR, adding other languages is really straightforward. Armed with this knowledge and the provided code samples, you can now embark on your OCR journey and unlock the potential of textual information in the digital realm. No branches or pull requests. empty_cache # To clear out the residual cache torch. May 7, 2021 · It depends on number of text box in the image. One such feature is the ability to use a GPU for faster processing. 1-cudnn7-runtime. 1. Nevertheless, as soon as easyocr predicts anything, GPU is allocated for for pyTorch (This is a known bug, I already checked easyOCR's github issues) and any TF model throws error: Failed I can't get easyocr to use my gpu. I tried 1. If you dont Oct 12, 2020 · Text Detection in Images with EasyOCR. Reader(['th','en']) reader. Parameters. readtext('R. "EasyOCR" is lightweight model which is giving a good performance for receipt or PDF conversion. テスト画像1: ゲームスクリーンショットをトリミングのみ実施. Sep 4, 2021 · I have a separate env which has CUDA enabled and works fine, I built it using CMAKE long time ago. Development. en,th for English and Thai, please see language codes below) Process. And finally: summarize method will summarize the given text. This needs to run only once to load the necessary models. Run on command line $ easyocr -l ch_sim en -f chinese. RJ Adriaansen. run in a Docker container. The Reader class is the base class for EasyOCR which contains a list of language codes and other parameters such as GPU that is by default set to True. EasyOCR Torch Attribute problem. 1: One where i download the model storage_directory. I installed PyTorch for Windows. But CPU is enough. sudo docker run -it --rm -v ~/workdir:/workdir/ --runtime nvidia --network host scene-text-recognition. 白ピクセル以外を塗りつぶし 実装とテスト May 13, 2022 · また EasyOCRは無料で利用できる 点も強みです。 最新の高精度な文字認識サービスは、基本的に従量課金制のAPIが多いです。 これだと、 文字認識で解決できるアイデアは思いついたけど検証に大きなお金がかかってしまう・・・ となってしまい、個人開発で Feb 25, 2022 · I am running a Python program using the excellent EasyOCR module. docker build -t scene-text-recognition . Note: This module is much faster with a GPU. When run in sequence, EasyOCR is by default using GPU and is faster compared to when run on CPU. imread(img_path) Then use the EasyOCR reader with your custom model: reader = easyocr. We will apply this to detect text off vehicle number plates. Ensure that the image is in the current directory or provide the absolute path of the image. Jan 3, 2023 · JaidedAI/EasyOCR, EasyOCR Ready-to-use OCR with 80+ languages supported including Chinese, Japanese, Korean and Thai. Reader constructor. Dive in to enhance your skills in AI-driven document processing. error: Unknown C++ exception from OpenCV code I would truly appreciate any support! I am trying to speed up easyocr as much as possible for extraction of digits, currently I'm using easyocr with GPU with a small image, no localization just detection/extraction, I get the result in 0. Jul 3, 2022 · import easyocr import torch reader = easyocr. The framework includes image preprocessing, deep learning model recognition, and image postprocessing. py . Build the dockerfile. 1-cuda10. Jul 29, 2022 · EasyOCR should not be that slow using a GPU, have you installed the CPU version of PyTorch? If you have a CPU version of PyTorch in the local cache you will need to do the following. 1 and it says compiled CUDA: NO I am struggling to find what version OpenCV I should be running to make it compatible. We plan to boost process speed later in phase 2. 1. May 25, 2023 · Model weights for the chosen language will be automatically downloaded or you can download them manually from the model hub and put them in the '~/. Here is what I did: Performed Otsu Threshold on the entire image; Selected contour with largest area and cropped it; Converted the cropped image to LAB color space; Manually performed binary threshold on A-channel; I got the following: Jan 15, 2023 · EasyOCR is a Python library for Optical Character Recognition (OCR) that allows you to easily extract text from images and scanned documents. Text Recognition using EasyOCR. EasyOCR 最主要特点是能几种常见 CAPTCHA 验证码图片提供自动一体化的识别功能（自动化完成图片 In case you do not have GPU or your GPU has low memory, you can run it in CPU mode by adding gpu = False. I am using Python version 3. from easyocr import Reader import cv2 from matplotlib import pyplot as plt import numpy as np IMAGE_PATH = "IMG_4022. "Keras-OCR" is image specific OCR tool. thankyou! i named my python file "easyocr. 介绍了EasyOCR的安装方法（该网页的Pre-install部分的第一句话的意思是“ 对于Windows，你可能需要手动安装pytorch ”，是不是Python 3. g. ', : 检测与识别模型的存储路径 (没有设置时默认存储在 ~/. It is giving more accurate results with organized texts like pdf files, receipts, bills. import easyocr. This may take several minutes depending upon your network connection. " (I don't have CUDA available atm unfortunately). My project is on Github. jpg', detail=0, paragraph=True) print (result) et=t Dec 1, 2021 · 1. In the end the solution for running EasyOCR on a Azure VM with GPU support was to use the v20. The second long-standing issue is how to clone the image to an SD card. Base class for EasyOCR. Here is the code for doing that: From that code, we can get outputs in Korean and English simultaneously. EasyOCR\model. . 1080ti的显卡用来做深度学习，性能一般般，但也看你输入的图片大小多少，应该不会太慢，但是最好买一张2080ti或者rtx titan。 Feb 7, 2021 · I enter the command easyocr -l ru en -f pic. Customizable image preprocessing steps and options for GPU acceleration make this a versatile and efficient solution for various OCR tasks License EasyOCR will choose the latest model by default but you can also specify which model to use by passing recog_network argument when creating a Reader instance. Reader (['ch_sim', 'en'], gpu = False) For more information, read the tutorial and API Documentation. We will be focusing on EasyOCR as it is faster on GPU. May 25, 2023 · Milestone. build from source or 3. First, Thanks to the great efforts of developer team at EasyOCR! I really need a help from you. After changing the filename I got the output. Please use opencv to read the image. Reader(['en','fr'], recog_network='latin_g1') will use the 1st generation Latin model; List of all models: Model hub; Read all release notes Oct 27, 2023 · Certain morphological operations such as dilation, erosion, OTSU binarization can help increase pytesseract performance. I want to test the speed of easyocr, this is my script: `import easyocr import time reader_ar = easyocr. Reader (['en'], gpu = True) def make_inference (image): '''This function is called multiple times simultaneously according to the number of simultaneous requests''' result = reader. You will find a lot of OCR frameworks out there, but the 2 main libraries that are used are EasyOCR and Tesseract OCR by Google. png --detail = 1 --gpu = true and then I get the message CUDA not available - defaulting to CPU. 🧪 Test it! After completing the work, our code looks like this: import os. cuda를 지원하여 gpu 가속을 통한 빠른 실행이 가능하다. Sep 14, 2020 · 9:38. Nov 17, 2021 · I have an EasyOCR model that I have trained with personnal data and I need to deploy it and make it available with an API REST. operating system info： Windows 10 package and env info： (. Finally, we have our --use-gpu command line argument. 2. - EasyOCR/Dockerfile at master · JaidedAI/EasyOCR Apr 4, 2022 · OCR Fácil con EasyOCR. pth" exist. jpg --detail=1 --gpu=True Implementation Roadmap Phase 1 (Now - October EasyOCR 是一个使用Java语言实现的 OCR 识别组件，其工作基于 Tesseract-OCR 开源引擎。. It relies on PyTorch for image detection and every time I run it, it produces a warning: "Using CPU. By default, we’ll use our CPU. Reader(['ch_sim','en'], gpu=False) For more information, read the tutorial and API Documentation. Jan 21, 2024 · import easyocr import cv2 import torch. You switched accounts on another tab or window. Passport recognition maybe will not fit for all recruitment, may we only use passport for traveling to other country or identity verification, for this case now i use for identity verification more specify for airport helper. Here is the sample of my code: import cv2 #pip install opencv-python. However as soon as i install easyocr it overwrites my torch with pytorch and stops recognizing my GPU. You signed out in another tab or window. There are two models in that folder, the craft_mlt_25k. Aug 11, 2023 · 1. It is possible that you on some of the VMs with more recent hardware, e. pyplot as plt. I followed all necessary instructions. What's new 1 February 2021 - Version 1. Reader(['ch_sim','en']) # no gpu reader = easyocr. In this tutorial, you will learn how to use the EasyOCR package to easily perform Optical Character Recognition and text detection with Python. #1238 opened on Apr 1 by MidHaux911. In this tutorial, we will understand the basics of using the Python EasyOCR package with examples to show how to extract text from images along with various parameter settings. 先检查一下，keras与tensorflow-gpu的版本是否兼容，并且检查这些版本（包括pytorch的版本）是否支持cuda与cudnn加速。 2. But when i use EasyOCR, it will always use GPU0 (the first one), and i couldn't find a way to change that Currently i can't even run easyOCR since my first gpu doesn't have enough memory The first one is gpu which is True by default, meaning that EasyOCR will try to use graphics processing unit(GPU) in computation if possible. jpg--detail = 1--gpu = True Implementation Roadmap Apr 22, 2021 · I want to be able to use easyocr in a pipeline using stdin/stdout, but parsing the output is non-trivial because of the warning message "CUDA not available - defaulting to CPU. Reader(['en'], gpu=True, recog_network='custom_example') Nov 27, 2022 · Using CPU. It's meet the requirements. EasyOCR/model' folder . I'm facing with the problem of detection a number from the image in python (the image contains the number five on the white background ) Im using the easyocr libary and opencv. 10. I have tried lots of things like installing CUDA from nvidia's website or downloading anaconda and installing pytorch and cudatoolkit in the anaconda cmd (normal cmd did not recognize conda). Jul 10, 2020 · Here’s the setup: import easyocr. Provide details and share your research! But avoid …. Dec 31, 2023 · 0. Note: File extension support: png, jpg, tiff. I'm struggling to understand how to properly implement this feature. If you are using Windows, there is one additional pre-install step to follow. Aug 17, 2023 · In this blog post, we explored the fundamentals of OCR, and its practical use cases, and showcased how to implement OCR in Python using Tesseract, Keras OCR, and EasyOCR libraries. Asking for help, clarification, or responding to other answers. cuda. Nov 21, 2021 · Hi all, I am trying to use easyOCR and I keep getting the following error: “CUDA not available - defaulting to CPU. Pre-install (for Windows) For Windows, you may need to install pytorch manually. import cv2. 1 image and a docker file that used the following base image: pytorch/pytorch:1. 03. If the input image has a lot of text boxes, having batch_size>1 should give you a speedup. Reload to refresh your session. Jul 29, 2022 · Third method - prediction allow us to make a prediction for a given prompt. En esta sección implementaremos un lector de texto en imágenes con suma facilidad, gracias al intuitivo API de EasyOCR. If you do not want to use GPU, you can just set gpu=False. Mar 7, 2021 · Note that it is going to take more time to execute EasyOCR on a CPU instead of a GPU. Any ideas how to fix it? Development. Apr 23, 2023 · ・EasyOCR. 2: Without downloading but directing to path where "craft_mlt_25k. Reader(['th','en']) CUDA not available - defaulting to CPU. py", however, i want to import the module "easyocr". Specifically, FastAPI runs the API server for uploading image files and EasyOCR does the text detections. Show Password Forgot your password? Feb 16, 2022 · In case you do not have a GPU, or your GPU has low memory, you can run the model in CPU-only mode by adding gpu=False. Reader object. thankyou very much! same here lol. EasyOCR/. # (by MENU > Runtime > Change runtime type > GPU, then redo from beginning ) import easyocr. readtext (image) torch. 在win10命令行窗口执行上述命令的结果如下图 Aug 9, 2022 · You signed in with another tab or window. There are currently 3 possible ways to install. lang_list (list) - list of language code you want to recognize, for example ['ch_sim','en']. I've also tried using different images that worked on my machine with GPU, so I think this isn't a problem with image. Tips: 在其官网有demo演示，我们 The punctuation mark recognition is not accurate. jpg --detail=1 --gpu=True-l: the name of the model which is ch_sim-f: path to the input Image or directory--detail=1: level of detail--gpu=True: we set this flag to true since we are running inference on a GPU, if you run this on a CPU you set this to false Nov 23, 2020 · There are multiple images in different folders and the sequence in which these folders are read isn't consequential. Image dimension limit: 1500 pixel. テスト画像2:画像1を画像処理したデータ. parse_args()) The --image command line argument specifies the path to the input image where we’ll perform text detection. readtext(path, detail = 0) answered Oct 10, 2022 at 11:20. py", so the code thought that i want to import "easyocr. pth model is the text recognition model that takes the bounding boxes and Dec 20, 2022 · I reference this post to check my cuda driver. easyocr import Reader Model weights for the chosen language will be automatically downloaded or you candownload them manually from the model hub and put them in the '~/. jpg--detail = 1--gpu = True Train/use your own model Oct 10, 2022 · As it is explained in the repo: "The output will be in a list format, each item represents a bounding box, the text detected and confident level, respectively. readtext ('a. Output of reader not shown in command window. tif" image = cv2. The im_1_path image took around ten seconds to be executed by recognize_text(). Problem: I have saw that we can't use GPU on AWS LAMBDA so how can we deploy a REST API that can use GPU on AWS ? (EasyOCR is really slow when we don't use GPU with CUDA) Jun 8, 2023 · EasyOCR works well and is quick on localhost but is extremely slow and never finishes once deployed on digital ocean (Ubuntu 22. Demo. I would like to use full video memory. Download this code from https://codegive. py", line 29, in import easyocr File "D:\PythonEnvs\AutoManhuaTranslator\lib\site-packages\easyocr_init_. 11 seconds with almost perfect results, using reader= "en" and allowlist "0123456789. When I uninstall this library, the kernel is working again. Apr 8, 2023 · gpu=False,: 设置是否使用GPU (EasyOCR在GPU上运行效率更高, 没有GPU或者GPU内存不足时设置False) model_storage_directory='model/. Therefore I use gpu=False in easyocr. -" , is there any model for numbers only similar like tesseract "digits" config file? Oct 19, 2023 · EasyOCR in Python provides several advanced features that can improve the accuracy and performance of OCR tasks. Hello, I am using EasyOCR with CUDA enabled. Downloading detection model, please wait. py", line 1, in from . uninstall the CPU version of pytorch pip uninstall torch<br> install the GPU version, don't use the local cache Powered by FastAPI + EasyOCR. I'm working on a project that involves text extraction from images using the EasyOCR library in Python. To help me make passport recognition i saw great Kaggle repository Mar 1, 2021 · Summary. from matplotlib import pyplot as plt. reset_peak_memory_stats Aug 4, 2020 · At current state, we cannot do much faster than this. jpg --detail=1 --gpu=True Train/use your own model Jan 31, 2022 · You are not reading the image. The results are based on white background images with black text, arial font Mar 14, 2022 · args = vars(ap. #1237 opened on Apr 1 by yuisunn. Here's the code that I currently have: import cv2. jpg" #this should be the path to your image img = cv2. Lines 12-21 then specify command line arguments for the EAST text detection model. Run on command line $ easyocr-l ch_sim en-f chinese. import openai. jpg') The results include four points that define the bounding box of each piece of text, the text Model weight for chosen language will be automatically downloaded or you can download it manually from the following links and put it in '~/. But torch still can't use GPU. Summary. EasyOCR can process multiple languages at the same time provided they are compatible with each other. Basic implementation to handle english text without GPU support. et fw nn va iz ls lu na uv cg