lfw: classify->verify

evaluation/lfw.py

@@ -13,6 +13,8 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
+#
+# This implements the standard LFW verification experiment.
 
 import math
 import numpy as np
@@ -64,8 +66,8 @@ def main():
     embeddings = dict(zip(*[paths, rawEmbeddings]))
 
     pairs = loadPairs(args.lfwPairs)
-    classifyExp(args.workDir, pairs, embeddings)
-    plotClassifyExp(args.workDir, args.tag)
+    verifyExp(args.workDir, pairs, embeddings)
+    plotVerifyExp(args.workDir, args.tag)
 
 
 def loadPairs(pairsFname):
@@ -165,7 +167,7 @@ def findBestThreshold(thresholds, embeddings, pairsTrain):
     return bestThresh
 
 
-def classifyExp(workDir, pairs, embeddings):
+def verifyExp(workDir, pairs, embeddings):
     print("  + Computing accuracy.")
     folds = KFold(n=6000, n_folds=10, shuffle=False)
     thresholds = arange(0, 4, 0.01)
@@ -234,7 +236,7 @@ def plotOpenFaceROC(workDir, plotFolds=True, color=None):
     return foldPlot, meanPlot, AUC
 
 
-def plotClassifyExp(workDir, tag):
+def plotVerifyExp(workDir, tag):
     print("Plotting.")
 
     fig, ax = plt.subplots(1, 1)