Har*_*ore 0 deep-learning conv-neural-network tensorflow
尝试更改 tensorflow 对象检测模型中的标签,但无法打开 pbtxt 文件。可以告诉我是否有任何应用程序可以打开它吗?
即你的 pbtxt 文件名是 graphfilename.pbtxt
例子
import tensorflow as tf
from tensorflow.core.framework import graph_pb2 as gpb
from google.protobuf import text_format as pbtf
gdef = gpb.GraphDef()
with open('graphfilename.pbtxt', 'r') as fh:
graph_str = fh.read()
pbtf.Parse(graph_str, gdef)
tf.import_graph_def(gdef)
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这是读取 label_map.pbtxt 文件的解决方案。它不需要导入任何 protobuf,因此它适用于所有版本的 TF。
def read_label_map(label_map_path):
item_id = None
item_name = None
items = {}
with open(label_map_path, "r") as file:
for line in file:
line.replace(" ", "")
if line == "item{":
pass
elif line == "}":
pass
elif "id" in line:
item_id = int(line.split(":", 1)[1].strip())
elif "name" in line:
item_name = line.split(":", 1)[1].replace("'", "").replace('"', "").strip()
if item_id is not None and item_name is not None:
items[item_name] = item_id
item_id = None
item_name = None
return items
print ([i for i in read_label_map("label_map.pbtxt")])
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