In project Densepose

[romany10203]

Instructions To Reproduce the 🐛 Bug:

1. Full runnable code or full changes you made:

Installation 
!python -m pip install pyyaml==5.1
import sys, os, distutils.core
!git clone 'https://github.com/facebookresearch/detectron2'
dist = distutils.core.run_setup("./detectron2/setup.py")
!python -m pip install {' '.join([f"'{x}'" for x in dist.install_requires])}
sys.path.insert(0, os.path.abspath('./detectron2'))

import torch, detectron2
!nvcc --version
TORCH_VERSION = ".".join(torch.__version__.split(".")[:2])
CUDA_VERSION = torch.__version__.split("+")[-1]
print("torch: ", TORCH_VERSION, "; cuda: ", CUDA_VERSION)
print("detectron2:", detectron2.__version__)

import detectron2
from detectron2.utils.logger import setup_logger
setup_logger()
import numpy as np
import os, json, cv2, random
from google.colab.patches import cv2_imshow
from detectron2 import model_zoo
from detectron2.engine import DefaultPredictor
from detectron2.config import get_cfg
from detectron2.utils.visualizer import Visualizer
from detectron2.data import MetadataCatalog, DatasetCatalog


##### ---Using densepose--- #####

!python "/content/detectron2/projects/DensePose/apply_net.py" show configs/densepose_rcnn_R_50_FPN_s1x.yaml densepose_rcnn_R_50_FPN_s1x.pkl ".content/image.jpg" dp_contour,bbox --output image_densepose_contour.png

Full logs or other relevant observations:

Traceback (most recent call last):
  File "/content/detectron2/projects/DensePose/apply_net.py", line 12, in <module>
    from detectron2.config import CfgNode, get_cfg
ModuleNotFoundError: No module named 'detectron2'

Expected behavior:

after installation i'm trying to use densepsoe but i still got this error
If there are no obvious error in "full logs" provided above,

Environment: google colab

Provide your environment information using the following command:

!python "/content/detectron2/projects/DensePose/apply_net.py" show configs/densepose_rcnn_R_50_FPN_s1x.yaml densepose_rcnn_R_50_FPN_s1x.pkl ".content/image.jpg" dp_contour,bbox --output image_densepose_contour.png