mthomure

# This script illustrates how to apply a trained image classifier to a new set
# of images.
# Author: Mick Thomure
# Date: 12/29/2013  

from glimpse.experiment import *
from glimpse.pools import *

def PredictImageClasses(exp, images, pool):
  """Apply existing model to a new set of images.

mthomure

from glimpse.experiment import *

def make_model_for_protos(protos):
    """Create a model for an existing set of prototypes."""
    model = Model()
    # Here, we assume that all prototypes have the same spatial extent.
    model.s2_kernels = [protos]
    return model

def train_classifier(model, pool, images, labels):

mthomure

from cPickle import load as load_pickle
from glimpse.experiment import Layer, ExtractFeatures, GetTrainingSet

# load an experiment object from disk, as saved by the 'glab' command.
def load_experiment(path):
    with open(path) as f:
        # load saved experiment. return type is described here:
        # https://github.com/mthomure/glimpse-project/blob/master/glimpse/experiment/experiment.py#L77
        return load_pickle(f)

mthomure

(ns hello-quil.noisy-spirals
  (:require [quil.core :as q]
            [hello-quil.noisy-spirals-dynamic :as d]
            [clojure.core.async :as a]
            [overtone.midi :as midi]
            [mojion.leap :as leap]))

(q/defsketch gen-art-14
  :title "100 Noisy Spirals"
  :size [d/SIZE d/SIZE]

mthomure

(ns fuzzy-diff
  "Approximate comparison of floating-point numbers for clojure.data/diff."
  (:require [clojure.data :refer [Diff]]))

(def ^:dynamic *fuzz* 0)

(defn fuzzy-float-diff [a b]
  (if (< (Math/abs (- a b)) *fuzz*) [nil nil a] [a b nil]))

(extend java.lang.Double

mthomure

(ns getpid
  (:import [jnr.ffi.types pid_t]
           [jnr.ffi LibraryLoader]))

;; see https://github.com/jnr/jnr-ffi-examples/blob/master/getpid/src/main/java/getpid/Getpid.java
;; using dependency: [com.github.jnr/jnr-ffi "2.0.9"]

;; public interface LibC  {
;;   public @pid_t long getpid();
;;   public @pid_t long getppid();

mthomure

#include "lbfgs.h"  // see https://github.com/stephenbeckr/L-BFGS-B-C/blob/master/src/lbfgsb.h
#include <stdio.h>

int test_setulb(integer *n, integer *m, double *x, double *l,
                double *u, integer *nbd, double *f,
                double *g, double *factr, double *pgtol, double *wa,
                integer *iwa, integer *task,
                integer *iprint, integer *csave,
                logical *lsave, integer *isave, double *dsave) {
    printf("test_setulb()\n");

mthomure

;; Port of https://github.com/bytedeco/javacpp-presets/tree/master/openblas
;; Requires openblas dependency:
;; [org.bytedeco.javacpp-presets/openblas-platform "0.2.19-1.3"]
(ns ExampleDGELSrowmajor
  (:import [org.bytedeco.javacpp openblas]))

(defn print-matrix-rowmajor [desc m n mat ldm]
  (println "\n " desc)
  (doseq [i (range m)]
    (doseq [j (range n)]

mthomure

(ns read-excel-stream
  (:import [com.monitorjbl.xlsx StreamingReader]))

;; Remember to add the following maven dependency:
;;   [com.monitorjbl/xlsx-streamer "1.0.1"]
;; More info here:
;;   https://github.com/monitorjbl/excel-streaming-reader

(defn workbook
  "Open an Excel workbook, for example in a with-open form. This is lazy, and

mthomure

(ns hdf5
  (:import [org.bytedeco.javacpp
            DoublePointer FloatPointer
            LongPointer IntPointer
            ShortPointer BytePointer]
           [org.bytedeco.javacpp hdf5 hdf5$H5File]))

;; Using maven dependency:
;; [org.bytedeco.javacpp-presets/hdf5-platform "1.10.0-patch1-1.3"]