Merge pull request #222 from littletomatodonkey/dir_infer

add support for infer dir
pull/231/head
littletomatodonkey 2020-07-22 21:50:03 +08:00 committed by GitHub
commit 0cdc08c5fb
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1 changed files with 30 additions and 10 deletions

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@ -12,6 +12,7 @@
# See the License for the specific language governing permissions and
# limitations under the License.
import os
import utils
import argparse
import numpy as np
@ -99,21 +100,40 @@ def postprocess(outputs, topk=5):
return zip(index, prob[index])
def get_image_list(img_file):
imgs_lists = []
if img_file is None or not os.path.exists(img_file):
raise Exception("not found any img file in {}".format(img_file))
img_end = ['jpg', 'png', 'jpeg', 'JPEG', 'JPG', 'bmp']
if os.path.isfile(img_file) and img_file.split('.')[-1] in img_end:
imgs_lists.append(img_file)
elif os.path.isdir(img_file):
for single_file in os.listdir(img_file):
if single_file.split('.')[-1] in img_end:
imgs_lists.append(os.path.join(img_file, single_file))
if len(imgs_lists) == 0:
raise Exception("not found any img file in {}".format(img_file))
return imgs_lists
def main():
args = parse_args()
operators = create_operators()
exe, program, feed_names, fetch_names = create_predictor(args)
data = preprocess(args.image_file, operators)
data = np.expand_dims(data, axis=0)
outputs = exe.run(program,
feed={feed_names[0]: data},
fetch_list=fetch_names,
return_numpy=False)
probs = postprocess(outputs)
for idx, prob in probs:
print("class id: {:d}, probability: {:.4f}".format(idx, prob))
image_list = get_image_list(args.image_file)
for idx, filename in enumerate(image_list):
data = preprocess(filename, operators)
data = np.expand_dims(data, axis=0)
outputs = exe.run(program,
feed={feed_names[0]: data},
fetch_list=fetch_names,
return_numpy=False)
probs = postprocess(outputs)
print("current image: {}".format(filename))
for idx, prob in probs:
print("\tclass id: {:d}, probability: {:.4f}".format(idx, prob))
if __name__ == "__main__":