I tried to train the custom object according to https://github.com/AlexeyAB/darknet#how-to-train-to-detect-your-custom-objects and I got an error.
Please tell me any good solutions.
I am going with google colaboratory.
I changed the directory, but it does not change.
dir
--content/
┠darknet-master/
┠build/
┠darknet/
┠x64/
┠data/
┠obj.data
┠
%%bash
cd /content/darknet-master./darknet detector train data/obj.data yolo-obj.cfg darknet53.conv.74 > train_log.txt
Couldn't open file: data/obj.dat
%cd /content/darknet-master/build/darknet/x64
!./darknet detect cfg/yolov3.cfg yolov3.weights data/person.jpg
/content/darknet-master/build/darknet/x64
/bin/bash: ./darknet: No such file or directory
Use %cd or os.chdir rather than %%bash cd...
The reason is that %%bash run commands in a sub-shell. But, I believe what you want to do is to change the working directory of the Python backend running your code.
Related
I want to run M-file (Octave) in Colab. first, I upload all file in Google Drive with the following address:
/content/drive/MyDrive/Colab/Corroded/hybrid/FAEICA_ANN/
Then I used the following code to run my file:
!apt install octave
from google.colab import drive
drive.mount('/content/drive')
import sys
import os
py_file_location = "/content/drive/MyDrive/Colab/Corroded/hybrid/FAEICA_ANN"
sys.path.append(os.path.abspath(py_file_location))
!octave -W MainANN_FAEICA.m
But I got:
error: no such file, '/content/MainANN_FAEICA.m'
error: source: error sourcing file '/content/MainANN_FAEICA.m'
Although I added the path, Colab cannot recognize the file.
You've added the directory to Python's system search path, not to Octave's search path.
The simplest way to run this file is to change the working directory to where the file is, then run the file:
os.chdir(py_file_location)
!octave -W MainANN_FAEICA.m
I am a newbie Blender user. I made my first animation yesterday and tried to render it in Google Colab. I ran a code which worked for a Youtuber who is running Blender2.91-linux version, but the same code showed error when I ran it.
I am currently using Windows 10 and really new at Blender. I need a working code that can successfully render Animation made with blender in Colab.
This is the code that I found online and ran. Please help :(
#Download Blender from Repository
!wget http://download.blender.org/release/Blender2.93/blender-2.93.0-linux-x64.tar.xz
#Install Blender
!tar xf blender-2.93.0-linux-x64.tar.xz
#Connect Google Drive
from google.colab import drive
drive.mount('/gdrive')
#Set Paths to Blender files
filename = '/gdrive/MyDrive/SHIP IN WATER With Particles.blend'
#Render an animation
!sudo ./blender-2.93.0-linux-x64/blender -b $filename -noaudio -E 'Cycles' -o '//image_####' -s 0 -e 72 -a -- --cycles-device OpenCL
The output of the last line came :
sudo: ./blender-2.93.0-linux-x64/blender: command not found
In short, I want a working code that can help me render Animation made in Blender in Google Colab.
Thank you in advance.... :)
The problem with your code is that the folder name is not the same after extracting from the tar file. Here is what you can do to fix your issue:
#Download Blender from Repository
!wget http://download.blender.org/release/Blender2.93/blender-2.93.0-linux-x64.tar.xz
#Install Blender
!tar xf blender-2.93.0-linux-x64.tar.xz
#Connect Google Drive
from google.colab import drive
drive.mount('/gdrive')
#Set Paths to Blender files
filename = '/gdrive/MyDrive/SHIP IN WATER With Particles.blend'
After that, add this command: !ls – you will get list files and folders in the current directory. Copy the extracted folder name from there and replace the old folder name with it:
OLD
./blender-2.93.0-linux-x64/blender
NEW
./NewFoldeName/blender
I am using Google Colab to create a deep learning model, and I face an issue when I run this code at the first time.
!p7zip -d filename.7z
I get the following message:
/usr/bin/p7zip: cannot read filename.7z
But when I re-run the same cell again, the code works.
Do you know what is the reason of this issue?
First, you have to specify path before the file name
in my case
!mkdir ~/data
!cd ~/data
!mkdir planet
!cd planet
# -c: competition name
# -f: which file you want to download
# -p: path to where the file should be saved
!kaggle competitions download -c planet-understanding-the-amazon-from-space -f train-jpg.tar.7z -p ~/data/planet/
# Unzip the 7zip files
# -d: which file to un7zip
!p7zip -d ~/data/planet/test-jpg.tar.7z
I was trying to run TensorBoard example : mnist_with_summaries.py and when I tried to open an instance of TensorBoard I got this :
command:
'tensorboard --logdir=/output --host localhost --port=6006'
output:
'TensorBoard 1.5.1 at http://localhost:6006 (Press CTRL+C to quit)
W0219 15:12:02.944875 Thread-1 application.py:273] path /[[_dataImageSrc]] not found, sending 404'
When I try to open http://localhost:6006, my browser crash.
I am on Ubuntu 16.04, with tensorflow GPU and the 1.5.1 version
I found a solution for this:
DO NOT USE "" or '' in the logdir path. Say, if you cd into the parent folder of log files (training folder is my log files parent folder), use "tensorboard --logdir=training" instead of "tensorboard --logdir='training'". This method works for my environment.
This is because you entered the wrong directory. For example, the file is in E:/path/to/log/events.out.tfevents.1526472789.DESKTOP-CUF1KNI
you should cd to the E:/path/to/"directory,ues "tensorboard --logdir=log
You may cd the E:/path/to/log directory, this will cause the error.
So I'm trying to git clone and cd into that directory using Google collab - but I cant cd into it. What am I doing wrong?
!rm -rf SwitchFrequencyAnalysis && git clone https://github.com/ACECentre/SwitchFrequencyAnalysis.git
!cd SwitchFrequencyAnalysis
!ls
datalab/ SwitchFrequencyAnalysis/
You would expect it to output the directory contents of SwitchFrequencyAnalysis - but instead its the root. I'm feeling I'm missing something obvious - Is it something to do with being within the python interpreter? (where is the documentation??)
Demo here.
use
%cd SwitchFrequencyAnalysis
to change the current working directory for the notebook environment (and not just the subshell that runs your ! command).
you can confirm it worked with the pwd command like this:
!pwd
further information about jupyter / ipython magics:
http://ipython.readthedocs.io/en/stable/interactive/magics.html#magic-cd
As others have pointed out, the cd command needs to start with a percentage sign:
%cd SwitchFrequencyAnalysis
Difference between % and !
Google Colab seems to inherit these syntaxes from Jupyter (which inherits them from IPython).
Jake VanderPlas explains this IPython behaviour here. You can see the excerpt below.
If you play with IPython's shell commands for a while, you might
notice that you cannot use !cd to navigate the filesystem:
In [11]: !pwd
/home/jake/projects/myproject
In [12]: !cd ..
In [13]: !pwd
/home/jake/projects/myproject
The reason is that
shell commands in the notebook are executed in a temporary subshell.
If you'd like to change the working directory in a more enduring way,
you can use the %cd magic command:
In [14]: %cd ..
/home/jake/projects
Another way to look at this: you need % because changing directory is relevant to the environment of the current notebook but not to the entire server runtime.
In general, use ! if the command is one that's okay to run in a separate shell. Use % if the command needs to be run on the specific notebook.
Use os.chdir. Here's a full example:
https://colab.research.google.com/notebook#fileId=1CSPBdmY0TxU038aKscL8YJ3ELgCiGGju
Compactly:
!mkdir abc
!echo "file" > abc/123.txt
import os
os.chdir('abc')
# Now the directory 'abc' is the current working directory.
# and will show 123.txt.
!ls
If you want to use the cd or ls functions , you need proper identifiers before the function names ( % and ! respectively)
use %cd and !ls to navigate
.
!ls # to find the directory you're in ,
%cd ./samplefolder #if you wanna go into a folder (say samplefolder)
or if you wanna go out of the current folder
%cd ../
and then navigate to the required folder/file accordingly
!pwd
import os
os.chdir('/content/drive/My Drive/Colab Notebooks/Data')
!pwd
view this answer for detailed explaination
https://stackoverflow.com/a/61636734/11535267
I believe you'd have to mount the Google Drive first before you do anything else.
from google.colab import drive
drive.mount('/content/drive')