<commit_before>Here is the readme for the ICCV2011 exemplar code
![](https://github.com/quantombone/exemplarsvm/raw/master/images/mono.png)
---- 
Author: <NAME> (<EMAIL>)
----
This object recognition library is a combination of:
libsvm-3.0-1,
fast blas convolution code (from voc-release-4.0), 
hog code (from voc-release-3.1), 
localization within a pyramid code (my variant of pedro's code from voc-release-3.1),

initialize region from user-provided bb,
mining hard-negatives with several mining queues (using linear SVM),
non-maximum suppression to clean up detections,
visualization of detection boxes,
video processing

    % compiling stuff
    % mex -O -lblas fconvblas.cc

%%%% Compilation instructions

%liblinear needs to be compiled, go inside its matlab directory and compile away by editing the Makefile

Quick Start Guide:

%%% VOC README
    %1. dump out model files for a VOC category
    >> initialize_voc_exemplars('motorcycle');

    %2. train all exemplars (all exemplars in exemplar directory)
    >> train_all_exemplars;

    %3. perform calibration
    >> models = load_all_exemplars;
    >> grid = load_result_grid(models);
    >> betas = perform_calibration(grid,models);

    %4. evaluate results on PASCAL VOC comp3 task<commit_msg>Edited README.md via GitHub<commit_after>Here is the readme for the ICCV2011 exemplar code
![](https://github.com/quantombone/exemplarsvm/raw/master/images/mono.png)
---- 
Author: <NAME> (<EMAIL>)
----
This object recognition library is a combination of:
libsvm-3.0-1,
fast blas convolution code (from voc-release-4.0), 
hog code (from voc-release-3.1), 
localization within a pyramid code (my variant of pedro's code from voc-release-3.1),

initialize region from user-provided bb,
mining hard-negatives with several mining queues (using linear SVM),
non-maximum suppression to clean up detections,
visualization of detection boxes,
video processing

---
Installation of PASCAL VOC Object Recognition Dataset

Go to http://pascallin.ecs.soton.ac.uk/challenges/VOC/ for more information
---

    % compiling stuff
    % mex -O -lblas fconvblas.cc

%%%% Compilation instructions

%liblinear needs to be compiled, go inside its matlab directory and compile away by editing the Makefile

Quick Start Guide:

%%% VOC README
    %1. dump out model files for a VOC category
    >> initialize_voc_exemplars('motorcycle');

    %2. train all exemplars (all exemplars in exemplar directory)
    >> train_all_exemplars;

    %3. perform calibration
    >> models = load_all_exemplars;
    >> grid = load_result_grid(models);
    >> betas = perform_calibration(grid,models);

    %4. evaluate results on PASCAL VOC comp3 task
{'fraction_non_alphanumeric': 0.09536275243081525, 'fraction_numerical': 0.013462976813762155, 'mean_word_length': 4.056710775047259, 'pattern_counts': {'":': 0, '<': 7, '<?xml version=': 0, '>': 27, 'https://': 2, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 2, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '2689861', 'n_tokens_mistral': 862, 'n_tokens_neox': 805, 'n_words': 289}