Colab无法从requirements.txt构建环境

问题描述

我正在尝试在此github存储库上运行代码https://github.com/imatge-upc/detection-2016-nipsws

我尝试从Google Colab中的requirements.txt安装依赖项,但是这样做失败,这给了我这个错误

Collecting backports.shutil-get-terminal-size==1.0.0
  Downloading https://files.pythonhosted.org/packages/7d/cd/1750d6c35fe86d35f8562091737907f234b78fdffab42b29c72b1dd861f4/backports.shutil_get_terminal_size-1.0.0-py2.py3-none-any.whl
Requirement already satisfied: cycler==0.10.0 in /usr/local/lib/python3.6/dist-packages (from -r /content/detection-2016-nipsws/requirements.txt (line 2)) (0.10.0)
Collecting Cython==0.24.1
  Downloading https://files.pythonhosted.org/packages/c6/fe/97319581905de40f1be7015a0ea1bd336a756f6249914b148a17eefa75dc/Cython-0.24.1.tar.gz (1.7MB)
     |████████████████████████████████| 1.7MB 15.0MB/s 
Collecting decorator==4.0.10
  Downloading https://files.pythonhosted.org/packages/53/24/cc53f9f216dd5ef269e0af7c7651cbda162554a5b088621a205961c07a6f/decorator-4.0.10-py2.py3-none-any.whl
Collecting easydict==1.6
  Downloading https://files.pythonhosted.org/packages/cc/fd/9bbcdc3c89ebb1cd78db436ad28bda2b47747a43bc623ef62ef345a7f88c/easydict-1.6.zip
Collecting enum34==1.1.6
  Downloading https://files.pythonhosted.org/packages/af/42/cb9355df32c69b553e72a2e28daee25d1611d2c0d9c272aa1d34204205b2/enum34-1.1.6-py3-none-any.whl
Collecting h5py==2.6.0
  Downloading https://files.pythonhosted.org/packages/9a/33/33aad2a23437fdbb7e448f3b1fde8eb36efa63a00a5af1c1f46552e0dd9f/h5py-2.6.0-cp36-cp36m-manylinux1_x86_64.whl (4.8MB)
     |████████████████████████████████| 4.8MB 40.4MB/s 
Collecting ipython==5.1.0
  Downloading https://files.pythonhosted.org/packages/66/d3/8830812574574c39f97bd6390475ba76294ed70cf489995dd30bd9b38245/ipython-5.1.0-py3-none-any.whl (747kB)
     |████████████████████████████████| 747kB 50.5MB/s 
Collecting ipython-genutils==0.1.0
  Downloading https://files.pythonhosted.org/packages/6a/b3/4ce580020d6be73770d55515a65aec9ed5f3ea95f09e00300e53fc264218/ipython_genutils-0.1.0-py2.py3-none-any.whl
Collecting Keras==1.0.8
  Downloading https://files.pythonhosted.org/packages/ab/4b/b92266f0c44bf9e39eabf20dca33b70a2904f30cd76b394c394257fb7e06/Keras-1.0.8.tar.gz (142kB)
     |████████████████████████████████| 143kB 52.4MB/s 
Collecting matplotlib==1.5.3
  Downloading https://files.pythonhosted.org/packages/61/f6/9aeee05e614043add127f1485a8e25758bed58f2a5361bbd870aa071e87a/matplotlib-1.5.3-cp36-cp36m-manylinux1_x86_64.whl (13.7MB)
     |████████████████████████████████| 13.8MB 246kB/s 
Collecting numpy==1.11.1
  Downloading https://files.pythonhosted.org/packages/e0/4c/515d7c4ac424ff38cc919f7099bf293dd064ba9a600e1e3835b3edefdb18/numpy-1.11.1.tar.gz (4.2MB)
     |████████████████████████████████| 4.2MB 49.3MB/s 
Collecting pathlib2==2.1.0
  Downloading https://files.pythonhosted.org/packages/b8/1b/02efe53150500722d1b5bbe3d9dd5a417fe07df05566595cf9114ced3c39/pathlib2-2.1.0-py2.py3-none-any.whl
Collecting pexpect==4.2.1
  Downloading https://files.pythonhosted.org/packages/5b/16/4859a0376be8b87bf3920b1f6e63b8a3c0ee42488babee07c87ca9316e03/pexpect-4.2.1-py2.py3-none-any.whl (55kB)
     |████████████████████████████████| 61kB 9.4MB/s 
Collecting pickleshare==0.7.4
  Downloading https://files.pythonhosted.org/packages/9f/17/daa142fc9be6b76f26f24eeeb9a138940671490b91cb5587393f297c8317/pickleshare-0.7.4-py2.py3-none-any.whl
Collecting Pillow==3.3.1
  Downloading https://files.pythonhosted.org/packages/7b/32/e6978aed8fba6398c00eec25f12798fb57647a6cef4f85db1567e3d086ef/Pillow-3.3.1.tar.gz (10.6MB)
     |████████████████████████████████| 10.6MB 44.2MB/s 
Collecting prompt-toolkit==1.0.7
  Downloading https://files.pythonhosted.org/packages/11/88/e9b9a8562867281818fcbd3598bd5185cf64b3803d09c58d235bac05a8af/prompt_toolkit-1.0.7-py3-none-any.whl (237kB)
     |████████████████████████████████| 245kB 45.8MB/s 
Collecting protobuf==3.0.0b2
  Downloading https://files.pythonhosted.org/packages/00/8e/9a3feb39d464eb7aacc108e6e6e1f2368ec741821486964c4cd0f41baabb/protobuf-3.0.0b2-py2.py3-none-any.whl (326kB)
     |████████████████████████████████| 327kB 50.1MB/s 
Collecting ptyprocess==0.5.1
  Downloading https://files.pythonhosted.org/packages/40/a5/184b46a3c986000196abd077166b2536acb2500009bec95feb9b8fc19828/ptyprocess-0.5.1-py2.py3-none-any.whl
Collecting Pygments==2.1.3
  Downloading https://files.pythonhosted.org/packages/9e/d0/d692085518c6a2dc875fe421c866fb6a08e0d9796ca507803c1e545fa116/Pygments-2.1.3-py2.py3-none-any.whl (755kB)
     |████████████████████████████████| 757kB 50.2MB/s 
Collecting pyparsing==2.1.9
  Downloading https://files.pythonhosted.org/packages/40/f8/926538c3f358a52ea5fd61bfe78f9c208bfd5ebc152d148503e210f23ed2/pyparsing-2.1.9-py2.py3-none-any.whl (55kB)
     |████████████████████████████████| 61kB 8.9MB/s 
Collecting python-dateutil==2.5.3
  Downloading https://files.pythonhosted.org/packages/33/68/9eadc96f9899caebd98f55f942d6a8f3fb2b8f8e69ba81a0f771269897e9/python_dateutil-2.5.3-py2.py3-none-any.whl (201kB)
     |████████████████████████████████| 204kB 44.8MB/s 
Collecting pytz==2016.6.1
  Downloading https://files.pythonhosted.org/packages/ba/c7/3d54cad4fb6cf7bf375d39771e67680ec779a541c68459210fcfdc3ba952/pytz-2016.6.1-py2.py3-none-any.whl (481kB)
     |████████████████████████████████| 481kB 48.1MB/s 
Collecting PyYAML==3.12
  Downloading https://files.pythonhosted.org/packages/4a/85/db5a2df477072b2902b0eb892feb37d88ac635d36245a72a6a69b23b383a/PyYAML-3.12.tar.gz (253kB)
     |████████████████████████████████| 256kB 56.9MB/s 
Collecting scikit-learn==0.17.1
  Downloading https://files.pythonhosted.org/packages/0d/1d/9c775f9403565f68aa23f9cef76c817a7115abd7ca1e1c5958a68c49fb6f/scikit-learn-0.17.1.tar.gz (7.9MB)
     |████████████████████████████████| 7.9MB 20.2MB/s 
Collecting scipy==0.18.0
  Downloading https://files.pythonhosted.org/packages/01/a1/dce70d47377d662aa4b0895df8431aee92cea6faefaab9dae21b0f901ded/scipy-0.18.0.tar.gz (13.2MB)
     |████████████████████████████████| 13.2MB 123kB/s 
Requirement already satisfied: simplegeneric==0.8.1 in /usr/local/lib/python3.6/dist-packages (from -r /content/detection-2016-nipsws/requirements.txt (line 27)) (0.8.1)
Collecting six==1.10.0
  Downloading https://files.pythonhosted.org/packages/c8/0a/b6723e1bc4c516cb687841499455a8505b44607ab535be01091c0f24f079/six-1.10.0-py2.py3-none-any.whl
Requirement already satisfied: sklearn==0.0 in /usr/local/lib/python3.6/dist-packages (from -r /content/detection-2016-nipsws/requirements.txt (line 29)) (0.0)
Collecting Theano==0.8.2
  Downloading https://files.pythonhosted.org/packages/30/3d/2354fac96ca9594b755ec22d91133522a7db0caa0877165a522337d0ed73/Theano-0.8.2.tar.gz (2.9MB)
     |████████████████████████████████| 2.9MB 40.0MB/s 
Collecting traitlets==4.3.1
  Downloading https://files.pythonhosted.org/packages/b6/72/f62f13fb8cdb85af5239788d4c57c281b3a92efc9d2ad9cc44cb14c8c26d/traitlets-4.3.1-py2.py3-none-any.whl (74kB)
     |████████████████████████████████| 81kB 9.6MB/s 
Collecting wcwidth==0.1.7
  Downloading https://files.pythonhosted.org/packages/7e/9f/526a6947247599b084ee5232e4f9190a38f398d7300d866af3ab571a5bfe/wcwidth-0.1.7-py2.py3-none-any.whl
Requirement already satisfied: setuptools>=18.5 in /usr/local/lib/python3.6/dist-packages (from ipython==5.1.0->-r /content/detection-2016-nipsws/requirements.txt (line 8)) (50.3.2)
Building wheels for collected packages: Cython,easydict,Keras,numpy,Pillow,PyYAML,scikit-learn,scipy,Theano
  Building wheel for Cython (setup.py) ... done
  Created wheel for Cython: filename=Cython-0.24.1-cp36-cp36m-linux_x86_64.whl size=5852245 sha256=4da6caf30878eaf77ea11bcc759e4889b4b14f85a839b2610cc024caa04330f4
  Stored in directory: /root/.cache/pip/wheels/79/ae/6d/955c45efee9bd20e932f74ec64ad6b96387d8ee01e8e6fa8ef
  Building wheel for easydict (setup.py) ... done
  Created wheel for easydict: filename=easydict-1.6-cp36-none-any.whl size=6275 sha256=cb2be971ce461198f9013e25760a781ce0b82aec245dde895d6067bd76af0510
  Stored in directory: /root/.cache/pip/wheels/ba/a4/51/d7362b5e6093c705a88d443f0c27078641bf1a6525fcc4a7e9
  Building wheel for Keras (setup.py) ... done
  Created wheel for Keras: filename=Keras-1.0.8-cp36-none-any.whl size=165467 sha256=f86276a8f629fa2c51d68053cdda25c67ffa8102a7e21c08a9ef4bc94ceb3978
  Stored in directory: /root/.cache/pip/wheels/a8/a2/ef/b11b94732a0dc7f6c78ca90edbc64d067c6a7fe50afaba3988
  Building wheel for numpy (setup.py) ... error
  ERROR: Failed building wheel for numpy
  Running setup.py clean for numpy
  ERROR: Failed cleaning build dir for numpy
  Building wheel for Pillow (setup.py) ... done
  Created wheel for Pillow: filename=Pillow-3.3.1-cp36-cp36m-linux_x86_64.whl size=932923 sha256=9c6d6e11205951c4cb1f65ada4d959abd551378b77f8c5329f16acc06a588e83
  Stored in directory: /root/.cache/pip/wheels/62/14/3a/bcc8987321200e5100cd42a533857008cd0a7b27578ac6ae1e
  Building wheel for PyYAML (setup.py) ... done
  Created wheel for PyYAML: filename=PyYAML-3.12-cp36-cp36m-linux_x86_64.whl size=43057 sha256=c5a166c0579d4c6f3651c45cb623c36c8cade4750afdff35c7076c5e7ef619ca
  Stored in directory: /root/.cache/pip/wheels/03/05/65/bdc14f2c6e09e82ae3e0f13d021e1b6b2481437ea2f207df3f
  Building wheel for scikit-learn (setup.py) ... done
  Created wheel for scikit-learn: filename=scikit_learn-0.17.1-cp36-cp36m-linux_x86_64.whl size=8175241 sha256=fb0c241f9d45adc686132754cba25b71bbf59ec75f7a48d97979e7b7e20cb9d1
  Stored in directory: /root/.cache/pip/wheels/17/68/59/e7417b53bb95a8bbbf17f8ab90fa1b8e985141e76de1d110b7
  Building wheel for scipy (setup.py) ... error
  ERROR: Failed building wheel for scipy
  Running setup.py clean for scipy
  ERROR: Failed cleaning build dir for scipy
  Building wheel for Theano (setup.py) ... done
  Created wheel for Theano: filename=Theano-0.8.2-cp36-none-any.whl size=2725411 sha256=4019d1bd6718fcf00fb48719c3575e3dd225295f9a8ded79fc88328807ec2ace
  Stored in directory: /root/.cache/pip/wheels/e4/33/9d/880c86cc0db0b29d34fb6c62256322a4ea1694404192c2b408
Successfully built Cython easydict Keras Pillow PyYAML scikit-learn Theano
Failed to build numpy scipy
ERROR: yellowbrick 0.9.1 has requirement numpy>=1.13.0,but you'll have numpy 1.11.1 which is incompatible.
ERROR: yellowbrick 0.9.1 has requirement scikit-learn>=0.20,but you'll have scikit-learn 0.17.1 which is incompatible.
ERROR: yellowbrick 0.9.1 has requirement scipy>=1.0.0,but you'll have scipy 0.18.0 which is incompatible.
ERROR: xarray 0.15.1 has requirement numpy>=1.15,but you'll have numpy 1.11.1 which is incompatible.
ERROR: umap-learn 0.4.6 has requirement numpy>=1.17,but you'll have numpy 1.11.1 which is incompatible.
ERROR: umap-learn 0.4.6 has requirement scikit-learn>=0.20,but you'll have scikit-learn 0.17.1 which is incompatible.
ERROR: umap-learn 0.4.6 has requirement scipy>=1.3.1,but you'll have scipy 0.18.0 which is incompatible.
ERROR: torchvision 0.7.0+cu101 has requirement pillow>=4.1.1,but you'll have pillow 3.3.1 which is incompatible.
ERROR: tifffile 2020.9.3 has requirement numpy>=1.15.1,but you'll have numpy 1.11.1 which is incompatible.
ERROR: textgenrnn 1.4.1 has requirement keras>=2.1.5,but you'll have keras 1.0.8 which is incompatible.
ERROR: tensorflow 2.3.0 has requirement h5py<2.11.0,>=2.10.0,but you'll have h5py 2.6.0 which is incompatible.
ERROR: tensorflow 2.3.0 has requirement numpy<1.19.0,>=1.16.0,but you'll have numpy 1.11.1 which is incompatible.
ERROR: tensorflow 2.3.0 has requirement protobuf>=3.9.2,but you'll have protobuf 3.0.0b2 which is incompatible.
ERROR: tensorflow 2.3.0 has requirement scipy==1.4.1,but you'll have scipy 0.18.0 which is incompatible.
ERROR: tensorflow 2.3.0 has requirement six>=1.12.0,but you'll have six 1.10.0 which is incompatible.
ERROR: tensorflow-probability 0.11.0 has requirement numpy>=1.13.3,but you'll have numpy 1.11.1 which is incompatible.
ERROR: tensorflow-Metadata 0.24.0 has requirement protobuf<4,>=3.7,but you'll have protobuf 3.0.0b2 which is incompatible.
ERROR: tensorflow-hub 0.9.0 has requirement numpy>=1.12.0,but you'll have numpy 1.11.1 which is incompatible.
ERROR: tensorflow-hub 0.9.0 has requirement protobuf>=3.8.0,but you'll have protobuf 3.0.0b2 which is incompatible.
ERROR: tensorflow-hub 0.9.0 has requirement six>=1.12.0,but you'll have six 1.10.0 which is incompatible.
ERROR: tensorflow-datasets 4.0.1 has requirement protobuf>=3.6.1,but you'll have protobuf 3.0.0b2 which is incompatible.
ERROR: tensorboard 2.3.0 has requirement numpy>=1.12.0,but you'll have numpy 1.11.1 which is incompatible.
ERROR: tensorboard 2.3.0 has requirement protobuf>=3.6.0,but you'll have protobuf 3.0.0b2 which is incompatible.
ERROR: spacy 2.2.4 has requirement numpy>=1.15.0,but you'll have numpy 1.11.1 which is incompatible.
ERROR: seaborn 0.11.0 has requirement matplotlib>=2.2,but you'll have matplotlib 1.5.3 which is incompatible.
ERROR: seaborn 0.11.0 has requirement numpy>=1.15,but you'll have numpy 1.11.1 which is incompatible.
ERROR: seaborn 0.11.0 has requirement scipy>=1.0,but you'll have scipy 0.18.0 which is incompatible.
ERROR: scikit-image 0.16.2 has requirement matplotlib!=3.0.0,>=2.0.0,but you'll have matplotlib 1.5.3 which is incompatible.
ERROR: scikit-image 0.16.2 has requirement pillow>=4.3.0,but you'll have pillow 3.3.1 which is incompatible.
ERROR: scikit-image 0.16.2 has requirement scipy>=0.19.0,but you'll have scipy 0.18.0 which is incompatible.
ERROR: pywavelets 1.1.1 has requirement numpy>=1.13.3,but you'll have numpy 1.11.1 which is incompatible.
ERROR: pysndfile 1.3.8 has requirement numpy>=1.13.0,but you'll have numpy 1.11.1 which is incompatible.
ERROR: pymc3 3.7 has requirement h5py>=2.7.0,but you'll have h5py 2.6.0 which is incompatible.
ERROR: pymc3 3.7 has requirement numpy>=1.13.0,but you'll have numpy 1.11.1 which is incompatible.
ERROR: pymc3 3.7 has requirement scipy>=0.18.1,but you'll have scipy 0.18.0 which is incompatible.
ERROR: pymc3 3.7 has requirement theano>=1.0.4,but you'll have theano 0.8.2 which is incompatible.
ERROR: pycocotools 2.0.2 has requirement cython>=0.27.3,but you'll have cython 0.24.1 which is incompatible.
ERROR: pycocotools 2.0.2 has requirement matplotlib>=2.1.0,but you'll have matplotlib 1.5.3 which is incompatible.
ERROR: pyarrow 0.14.1 has requirement numpy>=1.14,but you'll have numpy 1.11.1 which is incompatible.
ERROR: plotnine 0.6.0 has requirement matplotlib>=3.1.1,but you'll have matplotlib 1.5.3 which is incompatible.
ERROR: plotnine 0.6.0 has requirement numpy>=1.16.0,but you'll have numpy 1.11.1 which is incompatible.
ERROR: plotnine 0.6.0 has requirement scipy>=1.2.0,but you'll have scipy 0.18.0 which is incompatible.
ERROR: pandas 1.1.3 has requirement numpy>=1.15.4,but you'll have numpy 1.11.1 which is incompatible.
ERROR: pandas 1.1.3 has requirement python-dateutil>=2.7.3,but you'll have python-dateutil 2.5.3 which is incompatible.
ERROR: pandas 1.1.3 has requirement pytz>=2017.2,but you'll have pytz 2016.6.1 which is incompatible.
ERROR: opencv-python 4.1.2.30 has requirement numpy>=1.11.3,but you'll have numpy 1.11.1 which is incompatible.
ERROR: opencv-contrib-python 4.1.2.30 has requirement numpy>=1.11.3,but you'll have numpy 1.11.1 which is incompatible.
ERROR: numba 0.48.0 has requirement numpy>=1.15,but you'll have numpy 1.11.1 which is incompatible.
ERROR: nibabel 3.0.2 has requirement numpy>=1.12,but you'll have numpy 1.11.1 which is incompatible.
ERROR: networkx 2.5 has requirement decorator>=4.3.0,but you'll have decorator 4.0.10 which is incompatible.
ERROR: nbclient 0.5.1 has requirement jupyter-client>=6.1.5,but you'll have jupyter-client 5.3.5 which is incompatible.
ERROR: mlxtend 0.14.0 has requirement scikit-learn>=0.18,but you'll have scikit-learn 0.17.1 which is incompatible.
ERROR: mizani 0.6.0 has requirement matplotlib>=3.1.1,but you'll have matplotlib 1.5.3 which is incompatible.
ERROR: lunarcalendar 0.0.9 has requirement python-dateutil>=2.6.1,but you'll have python-dateutil 2.5.3 which is incompatible.
ERROR: librosa 0.6.3 has requirement scipy>=1.0.0,but you'll have scipy 0.18.0 which is incompatible.
ERROR: kapre 0.1.3.1 has requirement keras>=2.0.0,but you'll have keras 1.0.8 which is incompatible.
ERROR: jupyterlab-pygments 0.1.2 has requirement pygments<3,>=2.4.1,but you'll have pygments 2.1.3 which is incompatible.
ERROR: jaxlib 0.1.56+cuda101 has requirement numpy>=1.12,but you'll have numpy 1.11.1 which is incompatible.
ERROR: jax 0.2.4 has requirement numpy>=1.12,but you'll have numpy 1.11.1 which is incompatible.
ERROR: imgaug 0.2.9 has requirement numpy>=1.15.0,but you'll have numpy 1.11.1 which is incompatible.
ERROR: imbalanced-learn 0.4.3 has requirement scikit-learn>=0.20,but you'll have scikit-learn 0.17.1 which is incompatible.
ERROR: googleapis-common-protos 1.52.0 has requirement protobuf>=3.6.0,but you'll have protobuf 3.0.0b2 which is incompatible.
ERROR: google-colab 1.0.0 has requirement ipython~=5.5.0,but you'll have ipython 5.1.0 which is incompatible.
ERROR: google-colab 1.0.0 has requirement six~=1.15.0,but you'll have six 1.10.0 which is incompatible.
ERROR: google-cloud-bigquery 1.21.0 has requirement protobuf>=3.6.0,but you'll have protobuf 3.0.0b2 which is incompatible.
ERROR: google-api-core 1.16.0 has requirement protobuf>=3.4.0,but you'll have protobuf 3.0.0b2 which is incompatible.
ERROR: gensim 3.6.0 has requirement numpy>=1.11.3,but you'll have numpy 1.11.1 which is incompatible.
ERROR: gensim 3.6.0 has requirement scipy>=0.18.1,but you'll have scipy 0.18.0 which is incompatible.
ERROR: fbprophet 0.7.1 has requirement matplotlib>=2.0.0,but you'll have matplotlib 1.5.3 which is incompatible.
ERROR: fbprophet 0.7.1 has requirement numpy>=1.15.4,but you'll have numpy 1.11.1 which is incompatible.
ERROR: fbprophet 0.7.1 has requirement python-dateutil>=2.8.0,but you'll have python-dateutil 2.5.3 which is incompatible.
ERROR: fastai 1.0.61 has requirement numpy>=1.15,but you'll have numpy 1.11.1 which is incompatible.
ERROR: fancyimpute 0.4.3 has requirement keras>=2.0.0,but you'll have keras 1.0.8 which is incompatible.
ERROR: fancyimpute 0.4.3 has requirement scikit-learn>=0.19.1,but you'll have scikit-learn 0.17.1 which is incompatible.
ERROR: dm-tree 0.1.5 has requirement six>=1.12.0,but you'll have six 1.10.0 which is incompatible.
ERROR: datascience 0.10.6 has requirement folium==0.2.1,but you'll have folium 0.8.3 which is incompatible.
ERROR: cvxpy 1.0.31 has requirement numpy>=1.15,but you'll have numpy 1.11.1 which is incompatible.
ERROR: cvxpy 1.0.31 has requirement scipy>=1.1.0,but you'll have scipy 0.18.0 which is incompatible.
ERROR: cufflinks 0.17.3 has requirement ipython>=5.3.0,but you'll have ipython 5.1.0 which is incompatible.
ERROR: chainer 7.4.0 has requirement protobuf>=3.0.0,but you'll have protobuf 3.0.0b2 which is incompatible.
ERROR: bokeh 2.1.1 has requirement numpy>=1.11.3,but you'll have numpy 1.11.1 which is incompatible.
ERROR: bokeh 2.1.1 has requirement pillow>=4.0,but you'll have pillow 3.3.1 which is incompatible.
ERROR: blis 0.4.1 has requirement numpy>=1.15.0,but you'll have numpy 1.11.1 which is incompatible.
ERROR: autograd 1.3 has requirement numpy>=1.12,but you'll have numpy 1.11.1 which is incompatible.
ERROR: astropy 4.1 has requirement numpy>=1.16,but you'll have numpy 1.11.1 which is incompatible.
ERROR: albumentations 0.1.12 has requirement imgaug<0.2.7,>=0.2.5,but you'll have imgaug 0.2.9 which is incompatible.
Installing collected packages: backports.shutil-get-terminal-size,Cython,decorator,enum34,six,h5py,pickleshare,ipython-genutils,traitlets,Pygments,ptyprocess,pexpect,wcwidth,prompt-toolkit,ipython,Theano,python-dateutil,pytz,pyparsing,matplotlib,pathlib2,protobuf,scikit-learn
  Found existing installation: Cython 0.29.21
    Uninstalling Cython-0.29.21:
      Successfully uninstalled Cython-0.29.21
  Found existing installation: decorator 4.4.2
    Uninstalling decorator-4.4.2:
      Successfully uninstalled decorator-4.4.2
  Found existing installation: easydict 1.9
    Uninstalling easydict-1.9:
      Successfully uninstalled easydict-1.9
  Found existing installation: numpy 1.18.5
    Uninstalling numpy-1.18.5:
      Successfully uninstalled numpy-1.18.5
    Running setup.py install for numpy ... error
  Rolling back uninstall of numpy
  Moving to /usr/bin/f2py
   from /tmp/pip-uninstall-7cezq5ec/f2py
  Moving to /usr/bin/f2py3
   from /tmp/pip-uninstall-7cezq5ec/f2py3
  Moving to /usr/bin/f2py3.6
   from /tmp/pip-uninstall-7cezq5ec/f2py3.6
  Moving to /usr/local/bin/f2py
   from /tmp/pip-uninstall-c173x_92/f2py
  Moving to /usr/local/bin/f2py3
   from /tmp/pip-uninstall-c173x_92/f2py3
  Moving to /usr/local/bin/f2py3.6
   from /tmp/pip-uninstall-c173x_92/f2py3.6
  Moving to /usr/local/lib/python3.6/dist-packages/numpy-1.18.5.dist-info/
   from /usr/local/lib/python3.6/dist-packages/~umpy-1.18.5.dist-info
  Moving to /usr/local/lib/python3.6/dist-packages/numpy.libs/
   from /usr/local/lib/python3.6/dist-packages/~umpy.libs
  Moving to /usr/local/lib/python3.6/dist-packages/numpy/
   from /usr/local/lib/python3.6/dist-packages/~umpy
ERROR: Command errored out with exit status 1: /usr/bin/python3 -u -c 'import sys,setuptools,tokenize; sys.argv[0] = '"'"'/tmp/pip-install-17cy_dwe/numpy/setup.py'"'"'; __file__='"'"'/tmp/pip-install-17cy_dwe/numpy/setup.py'"'"';f=getattr(tokenize,'"'"'open'"'"',open)(__file__);code=f.read().replace('"'"'\r\n'"'"','"'"'\n'"'"');f.close();exec(compile(code,__file__,'"'"'exec'"'"'))' install --record /tmp/pip-record-0i_9hk26/install-record.txt --single-version-externally-managed --compile Check the logs for full command output.

我尝试将存储库加载到Binder中,但是我也遇到此错误

https://pastebin.com/BxJmSceu

任何人都可以帮我解决这个问题,因为我确实需要运行此代码

解决方法

暂无找到可以解决该程序问题的有效方法,小编努力寻找整理中!

如果你已经找到好的解决方法,欢迎将解决方案带上本链接一起发送给小编。

小编邮箱:dio#foxmail.com (将#修改为@)

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