groakat

## Refer to http://caffe.berkeleyvision.org/installation.html
# Contributions simplifying and improving our build system are welcome!

# cuDNN acceleration switch (uncomment to build with cuDNN).
USE_CUDNN := 1

# CPU-only switch (uncomment to build without GPU support).
# CPU_ONLY := 1

# uncomment to disable IO dependencies and corresponding data layers

groakat

Software

Preparation

Install Anaconda

• Download and install Anaconda https://www.continuum.io/downloads (make sure to use version 2.7 and not the 3.x version)
• During installation, install for User only and leave all standard settings like the are

Install further dependencies

• open anaconda prompt

groakat

## Refer to http://caffe.berkeleyvision.org/installation.html
# Contributions simplifying and improving our build system are welcome!

# cuDNN acceleration switch (uncomment to build with cuDNN).
USE_CUDNN := 1

# CPU-only switch (uncomment to build without GPU support).
# CPU_ONLY := 1

# uncomment to disable IO dependencies and corresponding data layers

groakat

## Refer to http://caffe.berkeleyvision.org/installation.html
# Contributions simplifying and improving our build system are welcome!

# cuDNN acceleration switch (uncomment to build with cuDNN).
USE_CUDNN := 1

# CPU-only switch (uncomment to build without GPU support).
# CPU_ONLY := 1

# uncomment to disable IO dependencies and corresponding data layers

groakat

## Refer to http://caffe.berkeleyvision.org/installation.html
# Contributions simplifying and improving our build system are welcome!

# cuDNN acceleration switch (uncomment to build with cuDNN).
USE_CUDNN := 1

# CPU-only switch (uncomment to build without GPU support).
# CPU_ONLY := 1

# uncomment to disable IO dependencies and corresponding data layers

groakat

groakat

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groakat

def dump(obj):
   for attr in dir(obj):
       if hasattr( obj, attr ):
           print( "obj.%s = %s" % (attr, getattr(obj, attr)))

groakat

import bpy
import numpy as np
import os

img_no = 77
in_folder = '/Volumes/Seagate_Backup_Plus_Drive/datasets/mech-sys/3d/rgb/bus/seq4/feat/fast_points'
img_template = 'image-{:04d}.npy'

clip = bpy.data.movieclips[0]
width=clip.size[0]

groakat

from __future__ import print_function
import bpy
import os

D = bpy.data

printFrameNums = True # include frame numbers in the csv file
relativeCoords = False # marker coords will be relative to the dimensions of the clip

proj_folder = os.path.join(bpy.path.abspath('//'))