def run_validate_images(validated_image_list, graph, index, testOutputList,
testOutputFileList):
for validated_image_filename in validated_image_list:
validated_image = cv2.imread(VALIDATED_IMAGES_DIR +
validated_image_filename)
valid_output_full = run_inference(validated_image, graph,
validated_image_filename)
valid_output = rmsList(valid_output_full, 13)
#print("valid_output=",valid_output)
validTupl = toRecTuple(valid_output)
#print("validTuble=",validTupl)
hits = list(index.nearest(validTupl, objects=True))
hitsId = [str(item.id) + " -- " + item.object for item in hits]
for h in hitsId:
print("R-tree for: " + validated_image_filename + ' matches ' + h)
# Test the inference results of this image with the results
# from the known valid face.
idx_nr = 0
for test_output_full in testOutputList:
(fm, fmdiff) = face_match(valid_output_full, test_output_full)
if (fm):
print('PASS! test ' + validated_image_filename + ' matches ' +
testOutputFileList[idx_nr] + ' id=' + str(idx_nr) +
' diff=' + str(fmdiff))
idx_nr = idx_nr + 1
def search_index(index, validTupl, validated_image_filename):
nearHits = list(index.nearest(validTupl, objects=True))
nearHitsId = [str(item.id) + " -- " + item.object for item in nearHits]
for h in nearHitsId:
print("R-tree near for: " + validated_image_filename + ' matches ' + h)
intrHits = list(index.intersection(validTupl, objects=True))
intrHitsId = [str(item.id) + " -- " + item.object for item in intrHits]
for h in intrHitsId:
print("R-tree intersect for: " + validated_image_filename +
' matches ' + h)
def run_validate_images(validated_image_list, graph, index, testOutputList):
for validated_image_filename in validated_image_list:
validated_image = cv2.imread(VALIDATED_IMAGES_DIR +
validated_image_filename)
valid_output_full = run_inference(validated_image, graph,
validated_image_filename)
valid_output = rmsList(valid_output_full, 13)
#print("valid_output=",valid_output)
validTupl = toRecTuple(valid_output)
#print("validTuble=",validTupl)
a = list(index.nearest(validTupl))
print("R-tree near: ", a)
# Test the inference results of this image with the results
# from the known valid face.
idx_nr = 0
for test_output_full in testOutputList:
if (face_match(valid_output_full, test_output_full)):
print('PASS! idx ' + str(idx_nr) + ' matches ' +
validated_image_filename)
idx_nr = idx_nr + 1