caffe-model | Caffe models ( including classification | Machine Learning library
kandi X-RAY | caffe-model Summary
kandi X-RAY | caffe-model Summary
Please install py-RFCN-priv for evaluating and finetuning.
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caffe-model Key Features
caffe-model Examples and Code Snippets
sudo apt-get install python-dev python-pip build-essential
sudo apt-get install libatlas-base-dev libopenblas-dev
sudo apt-get install libprotobuf-dev libleveldb-dev libsnappy-dev libopencv-dev libhdf5-serial-dev protobuf-compiler
sudo apt-get
cd $SIMCAM_SDK/train/data/Images_xmls/
python3 video2img.py
python3 video2img.py -h
usage: video2img.py [-h] [--input INPUT] [--output OUTPUT]
[--num NUMFRAMEPERSECOND]
optional arguments:
-h, --help show this help m
import numpy as np
def py_returnCAMmap(last_conv_net, w_variables):
n_feat, w, h, n= activation.shape
act_vec = np.reshape(activation, [n_feat, w*h])
n_top = weights_LR.shape[0]
out = np.zeros([w, h, n_top])
for t in range(n_t
Community Discussions
Trending Discussions on caffe-model
QUESTION
I'm trying to use a fully-connceted caffe neural network (NN) in python. The original model/NN was implemented and trained in Keras and then converted to a caffe model using MMdnn.
The data I want to present to the NN is a numpy array. It should push that trough the network and then make a class prediction on the output.
However, when I'm trying to present 1-D numpy array to the loaded caffe-model, I'm getting the following error:
...ANSWER
Answered 2019-Apr-26 at 12:34Found the answer, why I couldn't input the numpy array the way I tried. It's neccessary to assign it to the right input blob of the net (as I understood).
See question for layer names.
This code works:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install caffe-model
You can use caffe-model like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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