swayaminsync / clothes-virtual-try-on Goto Github PK
View Code? Open in Web Editor NEWVirtual Clothing Assistant a custom unique implementation of ViTON, allows user to try different clothings virtually
Virtual Clothing Assistant a custom unique implementation of ViTON, allows user to try different clothings virtually
Hi, after following all the steps in the setup PDF, when I finally upload the files, no output it generated in the "output" folder, and the application throws an error.
/***** **** when step 2 run its not succesfully. this show error
CMake Error at cmake/Utils.cmake:8 (file):
file DOWNLOAD HASH mismatch
for file: [/content/openpose/models/pose/body_25/pose_iter_584000.caffemodel]
expected hash: [78287b57cf85fa89c03f1393d368e5b7]
actual hash: [d41d8cd98f00b204e9800998ecf8427e]
status: [7;"Couldn't connect to server"]
Call Stack (most recent call first):
CMakeLists.txt:985 (download_model)
import os
from os.path import exists, join, basename, splitext
git_repo_url = 'https://github.com/CMU-Perceptual-Computing-Lab/openpose.git'
project_name = splitext(basename(git_repo_url))[0]
if not exists(project_name):
!wget -q https://cmake.org/files/v3.13/cmake-3.13.0-Linux-x86_64.tar.gz
!tar xfz cmake-3.13.0-Linux-x86_64.tar.gz --strip-components=1 -C /usr/local
!git clone -q --depth 1 $git_repo_url
!sed -i 's/execute_process(COMMAND git checkout master WORKING_DIRECTORY ${CMAKE_SOURCE_DIR}/3rdparty/caffe)/execute_process(COMMAND git checkout f019d0dfe86f49d1140961f8c7dec22130c83154 WORKING_DIRECTORY ${CMAKE_SOURCE_DIR}/3rdparty/caffe)/g' openpose/CMakeLists.txt
!apt-get -qq install -y libatlas-base-dev libprotobuf-dev libleveldb-dev libsnappy-dev libhdf5-serial-dev protobuf-compiler libgflags-dev libgoogle-glog-dev liblmdb-dev opencl-headers ocl-icd-opencl-dev libviennacl-dev
!pip install -q youtube-dl
!cd openpose && rm -rf build || true && mkdir build && cd build && cmake -DBUILD_PYTHON=ON .. && make -jnproc
!mkdir openpose/images openpose/videos
Hi, I have this error when I try to compile in a dockerfile
dockerfile
# Base image with CUDA and cuDNN
FROM nvidia/cuda:11.8.0-cudnn8-devel-ubuntu20.04
# Set non-interactive frontend (to avoid some prompts)
ENV DEBIAN_FRONTEND noninteractive
ENV NVIDIA_VISIBLE_DEVICES all
ENV NVIDIA_DRIVER_CAPABILITIES video,compute,utility
ENV TZ=America/New_York
# Install essential tools and libraries
RUN apt-get update && apt-get install -y \
git \
wget \
build-essential \
ffmpeg \
libatlas-base-dev \
libprotobuf-dev \
libleveldb-dev \
libsnappy-dev \
libhdf5-serial-dev \
protobuf-compiler \
libboost-all-dev \
libgflags-dev \
libgoogle-glog-dev \
liblmdb-dev \
opencl-headers \
ocl-icd-opencl-dev \
libviennacl-dev \
libopencv-dev \
ca-certificates \
python3-setuptools \
python3-dev \
build-essential \
python3-pip \
&& rm -rf /var/lib/apt/lists/* \
&& apt-get clean
# Install OpenSSL
ARG OPENSSL_VERSION=1.1.1l
RUN wget https://www.openssl.org/source/openssl-${OPENSSL_VERSION}.tar.gz \
&& tar xvfz openssl-${OPENSSL_VERSION}.tar.gz \
&& cd openssl-${OPENSSL_VERSION} \
&& ./config --prefix=/usr/local --openssldir=/usr/local/ssl --libdir=lib shared zlib-dynamic \
&& make \
&& make install \
&& ldconfig \
&& cd .. \
&& rm -rf openssl-${OPENSSL_VERSION} \
&& rm openssl-${OPENSSL_VERSION}.tar.gz
# Clone OpenPose repository with the specific version
WORKDIR /content
RUN wget --no-check-certificate -c "https://github.com/Kitware/CMake/releases/download/v3.19.6/cmake-3.19.6.tar.gz" && tar xf cmake-3.19.6.tar.gz
# Upgrade CMake to version 3.19.6
RUN cd cmake-3.19.6 && ./configure && make && make install && rm -rf cmake-3.19.6
RUN git clone --depth 1 -b "v1.7.0" https://github.com/CMU-Perceptual-Computing-Lab/openpose.git --recursive
COPY ./openpose/models/face/pose_iter_116000.caffemodel /content/openpose/models/face/pose_iter_116000.caffemodel
COPY ./openpose/models/hand/pose_iter_102000.caffemodel /content/openpose/models/hand/pose_iter_102000.caffemodel
COPY ./openpose/models/hand/pose_iter_120000.caffemodel /content/openpose/models/hand/pose_iter_120000.caffemodel
COPY ./openpose/models/pose/1_25BBkg/body_25b/pose_iter_810000.caffemodel /content/openpose/models/pose/1_25BBkg/body_25/pose_iter_810000.caffemodel
COPY ./openpose/models/pose/1_25BBkg/body_25b/pose_iter_XXXXXX.caffemodel /content/openpose/models/pose/1_25BBkg/body_25b/pose_iter_XXXXXX.caffemodel
COPY ./openpose/models/pose/1_25BBkg/body_25b/training_log.txt /content/openpose/models/pose/1_25BBkg/body_25b/training_log.txt
COPY ./openpose/models/pose/1_25BSuperModel11FullVGG/body_25b/pose_iter_636000.caffemodel /content/openpose/models/pose/1_25BSuperModel11FullVGG/body_25b/pose_iter_636000.caffemodel
COPY ./openpose/models/pose/1_25BSuperModel11FullVGG/body_25b/pose_iter_XXXXXX.caffemodel /content/openpose/models/pose/1_25BSuperModel11FullVGG/body_25b/pose_iter_XXXXXX.caffemodel
COPY ./openpose/models/pose/1_25BSuperModel11FullVGG/body_25b/training_log.txt /content/openpose/models/pose/1_25BSuperModel11FullVGG/body_25b/training_log.txt
COPY ./openpose/models/pose/2_25YaserWholeBatch/obtain_from_body_25_details_inside_txt.txt /content/openpose/models/pose/2_25YaserWholeBatch/obtain_from_body_25_details_inside_txt.txt
COPY ./openpose/models/pose/100_135AlmostSameBatchAllGPUs/body_135/pose_iter_464000.caffemodel /content/openpose/models/pose/100_135AlmostSameBatchAllGPUs/body_135/pose_iter_464000.caffemodel
COPY ./openpose/models/pose/100_135AlmostSameBatchAllGPUs/body_135/pose_iter_XXXXXX.caffemodel /content/openpose/models/pose/100_135AlmostSameBatchAllGPUs/body_135/pose_iter_XXXXXX.caffemodel
COPY ./openpose/models/pose/100_135AlmostSameBatchAllGPUs/body_135/training_log.txt /content/openpose/models/pose/100_135AlmostSameBatchAllGPUs/body_135/training_log.txt
COPY ./openpose/models/pose/body_21a_video/pose_deploy.prototxt /content/openpose/models/pose/body_21a_video/pose_deploy.prototxt
COPY ./openpose/models/pose/body_21a_video/pose_iter_264000.caffemodel /content/openpose/models/pose/body_21a_video/pose_iter_264000.caffemodel
COPY ./openpose/models/pose/body_25/pose_iter_584000.caffemodel /content/openpose/models/pose/body_25/pose_iter_584000.caffemodel
COPY ./openpose/models/pose/body_25/training_log.txt /content/openpose/models/pose/body_25/training_log.txt
COPY ./openpose/models/pose/body_25/training_results_source.txt /content/openpose/models/pose/body_25/training_results_source.txt
COPY ./openpose/models/pose/coco/main.html /content/openpose/models/pose/coco/main.html
COPY ./openpose/models/pose/coco/pose_iter_440000.caffemodel /content/openpose/models/pose/coco/pose_iter_440000.caffemodel
COPY ./openpose/models/pose/mpi/pose_iter_160000.caffemodel /content/openpose/models/pose/mpi/pose_iter_160000.caffemodel
# Configure and build OpenPose
WORKDIR /content/openpose/build
RUN cmake -DUSE_CUDNN=OFF -DBUILD_PYTHON=ON .. \
&& make -j`nproc`
# Install other Python packages
RUN pip3 install ninja
WORKDIR /content
RUN git clone https://github.com/practice404/clothes-virtual-try-on.git
RUN cd clothes-virtual-try-on && mkdir checkpoints
COPY ./clothes-virtual-try-on/checkpoints /content/clothes-virtual-try-on/checkpoints
COPY ./clothes-virtual-try-on/app.py /content/clothes-virtual-try-on/app.py
COPY ./clothes-virtual-try-on/cloth_segm_u2net_latest.pth /content/clothes-virtual-try-on/cloth_segm_u2net_latest.pth
RUN git clone https://github.com/PeikeLi/Self-Correction-Human-Parsing
RUN cd Self-Correction-Human-Parsing && mkdir checkpoints
COPY ./Self-Correction-Human-Parsing/checkpoints /content/Self-Correction-Human-Parsing/checkpoints
WORKDIR /content
# Install Miniconda
ENV MINICONDA_INSTALLER_SCRIPT=Miniconda3-4.5.4-Linux-x86_64.sh
ENV MINICONDA_PREFIX=/usr/local
RUN wget --no-check-certificate https://repo.continuum.io/miniconda/$MINICONDA_INSTALLER_SCRIPT \
&& chmod +x $MINICONDA_INSTALLER_SCRIPT \
&& ./$MINICONDA_INSTALLER_SCRIPT -b -f -p $MINICONDA_PREFIX \
&& conda install --channel defaults conda python=3.8 --yes \
&& conda update --channel defaults --all --yes
# Install PyTorch compatible with CUDA 11.7
RUN pip install torch==1.13.0 torchvision==0.14.0 torchaudio==0.13.0 -f https://download.pytorch.org/whl/torch_stable.html
# Install other Python packages
RUN pip install Flask gdown rembg[gpu] gradio==3.45.0 numpy protobuf torchgeometry opencv-python torchvision Pillow
# Clone additional repositories and download models
WORKDIR /content
RUN nvcc --version
RUN cd /content/ && mkdir inputs && cd inputs && mkdir test && cd test && mkdir cloth cloth-mask image image-parse openpose-img openpose-json
# Set command to launch your application
CMD ["python", "/content/clothes-virtual-try-on/test.py", "--name", "outputs", "--dataset_dir", "/content/inputs", "--checkpoint_dir", "/content/clothes-virtual-try-on/checkpoints", "--save_dir", "/content/"]
error
==========
== CUDA ==
==========
CUDA Version 11.8.0
Container image Copyright (c) 2016-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
This container image and its contents are governed by the NVIDIA Deep Learning Container License.
By pulling and using the container, you accept the terms and conditions of this license:
https://developer.nvidia.com/ngc/nvidia-deep-learning-container-license
A copy of this license is made available in this container at /NGC-DL-CONTAINER-LICENSE for your convenience.
Namespace(alias_checkpoint='alias_final.pth', batch_size=1, checkpoint_dir='/content/clothes-virtual-try-on/checkpoints', dataset_dir='/content/inputs', dataset_list='test_pairs.txt', dataset_mode='test', display_freq=1, gmm_checkpoint='gmm_final.pth', grid_size=5, init_type='xavier', init_variance=0.02, load_height=1024, load_width=768, name='outputs', ngf=64, norm_G='spectralaliasinstance', num_upsampling_layers='most', save_dir='/content/', seg_checkpoint='seg_final.pth', semantic_nc=13, shuffle=False, workers=1)
Network [SegGenerator] was created. Total number of parameters: 34.5 million. To see the architecture, do print(network).
Network [ALIASGenerator] was created. Total number of parameters: 100.5 million. To see the architecture, do print(network).
Traceback (most recent call last):
File "/content/clothes-virtual-try-on/test.py", line 155, in <module>
main()
File "/content/clothes-virtual-try-on/test.py", line 148, in main
seg.cuda().eval()
File "/usr/local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 747, in cuda
return self._apply(lambda t: t.cuda(device))
File "/usr/local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 639, in _apply
module._apply(fn)
File "/usr/local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 639, in _apply
module._apply(fn)
File "/usr/local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 662, in _apply
param_applied = fn(param)
File "/usr/local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 747, in <lambda>
return self._apply(lambda t: t.cuda(device))
File "/usr/local/lib/python3.8/site-packages/torch/cuda/__init__.py", line 229, in _lazy_init
torch._C._cuda_init()
RuntimeError: Unexpected error from hipGetDeviceCount(). Did you run some cuda functions before calling NumHipDevices() that might have already set an error? Error 101: hipErrorInvalidDevice
I just followed step by step in you setup, but I don't know what is the problem
thanks
Run
docker build -t clothes-v . && docker run --gpus all clothes-v
I'm getting this error and i followed all the steps mentioned in the repo first i applied for the API key at ngork and the changes the API key to my API key in in remove bg then also I'm getting this error can you or any one help me please 🙏🥺 @practice404
Remove the current openpose dependency to the Pytorch's version of openpose, which can be found here
This update will resolve multiple dependency issues like building locally, enabling cudNN support and quick build time
hello @practice404 🙌 myself Rohan I contacted you on facebook regarding how to make a image based virtual try on ,I just want to know which sources you referred to make this amazing project I also wanted to make one for my college project like how did write the code required the code to transfer clothes and human body segmentation .Please Help ,You help is Required 🙏🙏
Traceback (most recent call last):
File "/usr/local/lib/python3.10/dist-packages/gradio/routes.py", line 517, in predict
output = await route_utils.call_process_api(
File "/usr/local/lib/python3.10/dist-packages/gradio/route_utils.py", line 216, in call_process_api
output = await app.get_blocks().process_api(
File "/usr/local/lib/python3.10/dist-packages/gradio/blocks.py", line 1555, in process_api
result = await self.call_function(
File "/usr/local/lib/python3.10/dist-packages/gradio/blocks.py", line 1193, in call_function
prediction = await anyio.to_thread.run_sync(
File "/usr/local/lib/python3.10/dist-packages/anyio/to_thread.py", line 33, in run_sync
return await get_asynclib().run_sync_in_worker_thread(
File "/usr/local/lib/python3.10/dist-packages/anyio/_backends/_asyncio.py", line 877, in run_sync_in_worker_thread
return await future
File "/usr/local/lib/python3.10/dist-packages/anyio/_backends/_asyncio.py", line 807, in run
result = context.run(func, *args)
File "/usr/local/lib/python3.10/dist-packages/gradio/utils.py", line 654, in wrapper
response = f(*args, **kwargs)
File "", line 13, in run
op = os.listdir("/content/output")[0]
IndexError: list index out of range
As the title says. Seems like the google colab code isn't working as expected. Ngrok
doesn't deploy properly, even with a workaround there seems to be a problem. Issue created here
Any fix?
Shift from the current backend and frontend setup to the more clear and concise Gradio application, allowing less confusion in the setup process of server and client.
Contributions and suggestions are welcome!
when i run all cammands in colab and go to ngrok link its saying hello world. please help.
Where is it VTON_HD file . Can u send it
Can anyone help me give ideas about training a model with shoes?
INFO:werkzeug:127.0.0.1 - - [25/Jun/2023 02:02:11] "GET / HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [25/Jun/2023 02:02:11] "GET /favicon.ico HTTP/1.1" 404 -
data recieved
ERROR:main:Exception on /api/transform [POST]
Traceback (most recent call last):
File "/usr/local/lib/python3.10/dist-packages/flask/app.py", line 2529, in wsgi_app
response = self.full_dispatch_request()
File "/usr/local/lib/python3.10/dist-packages/flask/app.py", line 1825, in full_dispatch_request
rv = self.handle_user_exception(e)
File "/usr/local/lib/python3.10/dist-packages/flask/app.py", line 1823, in full_dispatch_request
rv = self.dispatch_request()
File "/usr/local/lib/python3.10/dist-packages/flask/app.py", line 1799, in dispatch_request
return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args)
File "", line 39, in begin
op = os.listdir(output_dir)[0]
IndexError: list index out of range
INFO:werkzeug:127.0.0.1 - - [25/Jun/2023 02:02:48] "POST /api/transform HTTP/1.1" 500 -
for installation , it take 18 mins. and after that, its not working..
i can i install this quickly and get a demo!!!
Hi
Is it possible to train a model to change models' shoes, not clothes?
Thank you
im a novice ,and i want to run this event,But I don't see the steps file, so I don't know how to run it, I want to run it on the windows cpu, who can you tell me the specific steps
I'm not able to get the output image in which the target cloth is pasted on input image of person, the program is giving no error but then also why is the output folder still empty? please Help @practice404 @rao-rohit @Ihtreeek @Navaneeth-Sharma PLEASE HELP.
Hi! I try run app() but receive an error:
* Serving Flask app '__main__'
* Debug mode: off
INFO:werkzeug:WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.
* Running on http://127.0.0.1:5000/
INFO:werkzeug:Press CTRL+C to quit
Exception in thread Thread-13:
Traceback (most recent call last):
File "/usr/local/lib/python3.10/dist-packages/urllib3/connection.py", line 203, in _new_conn
sock = connection.create_connection(
File "/usr/local/lib/python3.10/dist-packages/urllib3/util/connection.py", line 85, in create_connection
raise err
File "/usr/local/lib/python3.10/dist-packages/urllib3/util/connection.py", line 73, in create_connection
sock.connect(sa)
ConnectionRefusedError: [Errno 111] Connection refused
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/usr/local/lib/python3.10/dist-packages/urllib3/connectionpool.py", line 791, in urlopen
response = self._make_request(
File "/usr/local/lib/python3.10/dist-packages/urllib3/connectionpool.py", line 497, in _make_request
conn.request(
File "/usr/local/lib/python3.10/dist-packages/urllib3/connection.py", line 395, in request
self.endheaders()
File "/usr/lib/python3.10/http/client.py", line 1278, in endheaders
self._send_output(message_body, encode_chunked=encode_chunked)
File "/usr/lib/python3.10/http/client.py", line 1038, in _send_output
self.send(msg)
File "/usr/lib/python3.10/http/client.py", line 976, in send
self.connect()
File "/usr/local/lib/python3.10/dist-packages/urllib3/connection.py", line 243, in connect
self.sock = self._new_conn()
File "/usr/local/lib/python3.10/dist-packages/urllib3/connection.py", line 218, in _new_conn
raise NewConnectionError(
urllib3.exceptions.NewConnectionError: <urllib3.connection.HTTPConnection object at 0x7dae50db8520>: Failed to establish a new connection: [Errno 111] Connection refused
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/usr/local/lib/python3.10/dist-packages/requests/adapters.py", line 486, in send
resp = conn.urlopen(
File "/usr/local/lib/python3.10/dist-packages/urllib3/connectionpool.py", line 845, in urlopen
retries = retries.increment(
File "/usr/local/lib/python3.10/dist-packages/urllib3/util/retry.py", line 515, in increment
raise MaxRetryError(_pool, url, reason) from reason # type: ignore[arg-type]
urllib3.exceptions.MaxRetryError: HTTPConnectionPool(host='localhost', port=4040): Max retries exceeded with url: /api/tunnels (Caused by NewConnectionError('<urllib3.connection.HTTPConnection object at 0x7dae50db8520>: Failed to establish a new connection: [Errno 111] Connection refused'))
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/lib/python3.10/threading.py", line 1016, in _bootstrap_inner
self.run()
File "/usr/lib/python3.10/threading.py", line 1378, in run
self.function(*self.args, **self.kwargs)
File "/usr/local/lib/python3.10/dist-packages/flask_ngrok.py", line 70, in start_ngrok
ngrok_address = _run_ngrok()
File "/usr/local/lib/python3.10/dist-packages/flask_ngrok.py", line 35, in _run_ngrok
tunnel_url = requests.get(localhost_url).text # Get the tunnel information
File "/usr/local/lib/python3.10/dist-packages/requests/api.py", line 73, in get
return request("get", url, params=params, **kwargs)
File "/usr/local/lib/python3.10/dist-packages/requests/api.py", line 59, in request
return session.request(method=method, url=url, **kwargs)
File "/usr/local/lib/python3.10/dist-packages/requests/sessions.py", line 589, in request
resp = self.send(prep, **send_kwargs)
File "/usr/local/lib/python3.10/dist-packages/requests/sessions.py", line 703, in send
r = adapter.send(request, **kwargs)
File "/usr/local/lib/python3.10/dist-packages/requests/adapters.py", line 519, in send
raise ConnectionError(e, request=request)
requests.exceptions.ConnectionError: HTTPConnectionPool(host='localhost', port=4040): Max retries exceeded with url: /api/tunnels (Caused by NewConnectionError('<urllib3.connection.HTTPConnection object at 0x7dae50db8520>: Failed to establish a new connection: [Errno 111] Connection refused'))
Can you please help me?
We depend on the API of remove.bg for the removal of the human image's background. It's an inefficient way instead a python package rembg
can handle this.
Looking for contributions to make it possible.
Traceback (most recent call last):
File "/usr/local/lib/python3.10/dist-packages/gradio/routes.py", line 517, in predict
output = await route_utils.call_process_api(
File "/usr/local/lib/python3.10/dist-packages/gradio/route_utils.py", line 216, in call_process_api
output = await app.get_blocks().process_api(
File "/usr/local/lib/python3.10/dist-packages/gradio/blocks.py", line 1555, in process_api
result = await self.call_function(
File "/usr/local/lib/python3.10/dist-packages/gradio/blocks.py", line 1193, in call_function
prediction = await anyio.to_thread.run_sync(
File "/usr/local/lib/python3.10/dist-packages/anyio/to_thread.py", line 33, in run_sync
return await get_asynclib().run_sync_in_worker_thread(no execution
Good afternoon!
First of all thank you very much for your nice work! The code has some errors, but after fixing them and running everything in Colab separately I got the results seen in the image. Is it something expected to get this bad quality result, or there is something wrong? In case you think there is something wrong, do you have any idea what could it be?
Thank you very much for your time in advance 😄
File "", line 13, in run
op = os.listdir("/content/output")[0]
IndexError: list index out of range
F0215 12:27:15.704495 33671 cudnn_conv_layer.cu:21] Check failed: status == CUDNN_STATUS_SUCCESS (8 vs. 0) CUDNN_STATUS_EXECUTION_FAILED
*** Check failure stack trace: ***
@ 0x7f8b64cc01c3 google::LogMessage::Fail()
@ 0x7f8b64cc525b google::LogMessage::SendToLog()
@ 0x7f8b64cbfebf google::LogMessage::Flush()
@ 0x7f8b64cc06ef google::LogMessageFatal::~LogMessageFatal()
@ 0x7f8b64a3adaa caffe::CuDNNConvolutionLayer<>::Forward_gpu()
@ 0x7f8b649bfba2 caffe::Net<>::ForwardFromTo()
@ 0x7f8b653752d6 op::NetCaffe::forwardPass()
@ 0x7f8b65392232 op::PoseExtractorCaffe::forwardPass()
@ 0x7f8b6538d2eb op::PoseExtractor::forwardPass()
@ 0x7f8b6538ade0 op::WPoseExtractor<>::work()
@ 0x7f8b653bbb2f op::Worker<>::checkAndWork()
@ 0x7f8b653bbcbb op::SubThread<>::workTWorkers()
@ 0x7f8b653c97dd op::SubThreadQueueInOut<>::work()
@ 0x7f8b653c0841 op::Thread<>::threadFunction()
@ 0x7f8b653c0be5 op::Thread<>::exec()
@ 0x7f8b653c38a4 op::ThreadManager<>::exec()
@ 0x7f8b6541c0c9 op::WrapperT<>::exec()
@ 0x55f2db75320c openPoseDemo()
@ 0x55f2db74f6c7 main
@ 0x7f8b64d3f083 __libc_start_main
@ 0x55f2db74f6fe _start
Originally posted by RonakPrasad September 19, 2023
I have followed the Setup.pdf provided in the repo and made the necessary changes required to run the instances in Colab as well as the Client Application on the local machine.
But when I run the Client Application and upload the cloth and model images.
The following errors are thrown:
It would mean a lot if anyone could help with this issue.
Awaiting your response.
Thank you.
I'm following the colab tutorial as described, my ngrok auth token is set up properly as well. But in the very end when I run the command:
#19
app.run()
I get this error:
urllib3.exceptions.NewConnectionError: <urllib3.connection.HTTPConnection object at 0x7f49c009f4f0>: Failed to establish a new connection: [Errno 111] Connection refused
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/lib/python3.10/dist-packages/requests/adapters.py", line 440, in send
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.