錯誤：需要一個類似字節的對象，而不是“ str”（cPickle，Python）

Question

我有以下錯誤...

被引用的代碼是這樣的：

from hog import HOG
import dataset
import argparse
import _pickle as cPickle
import mahotas
import cv2


ap = argparse.ArgumentParser()
ap.add_argument("-m", "--model", required = True,
    help = "path to where the model will be stored")
ap.add_argument("-i", "--image", required = True,
    help = "path to the image file")
args = vars(ap.parse_args())

model = open(args["model"]).read()
model = cPickle.loads(model)

hog = HOG(orientations = 18, pixelsPerCell = (10, 10),
cellsPerBlock = (1, 1), normalize = True)

image = cv2.imread(args["image"])
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

blurred = cv2.GaussianBlur(gray, (5, 5), 0)
edged = cv2.Canny(blurred, 30, 150)
(cnts, _) = cv2.findContours(edged.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)

cnts = sorted([(c, cv2.boundingRect(c)[0]) for c in cnts], key =lambda x: x[1])

for (c, _) in cnts:
    (x, y, w, h) = cv2.boundingRect(c)
    if w >= 7 and h >= 20:
        roi = gray[y:y + h, x:x + w]
        thresh = roi.copy()
        T = mahotas.thresholding.otsu(roi)
        thresh[thresh > T] = 255
        thresh = cv2.bitwise_not(thresh)
        thresh = dataset.deskew(thresh, 20)
        thresh = dataset.center_extent(thresh, (20, 20))
        cv2.imshow("thresh", thresh)

        hist = hog.describe(thresh)
        digit = model.predict(hist)[0]
        print
        "I think that number is: %d" % (digit)
        cv2.rectangle(image, (x, y), (x + w, y + h),
            (0, 255, 0), 1)
        cv2.putText(image, str(digit), (x - 10, y - 10),
            cv2.FONT_HERSHEY_SIMPLEX, 1.2, (0, 255, 0), 2)
        cv2.imshow("image", image)
        cv2.waitKey(0)

這是“鏈接”到另一部分（同一軟件包中的另一個.py文件...），它是：

from sklearn.svm import LinearSVC
from hog import HOG
import dataset
import argparse
import _pickle as cPickle


ap = argparse.ArgumentParser()
ap.add_argument("-d", "--dataset", required = True,
    help = "path to the dataset file")
ap.add_argument("-m", "--model", required = True,
    help = "path to where the model will be stored")
args = vars(ap.parse_args())

(digits, target) = dataset.load_digits(args["dataset"])
data = []

hog = HOG(orientations = 18, pixelsPerCell = (10, 10),
    cellsPerBlock = (1, 1), normalize = True)

for image in digits:
    image = dataset.deskew(image, 20)
    image = dataset.center_extent(image, (20, 20))

    hist = hog.describe(image)
    data.append(hist)

model = LinearSVC(random_state = 42)
model.fit(data, target)
f = open(args["model"], "w")
f.write(str(cPickle.dumps(model)))
f.close()

注意：在這一行---> f.write(str(cPickle.dumps(model)))我自己將其f.write(str(cPickle.dumps(model)))為str因為當我嘗試執行最后一個代碼塊時，它給出了錯誤。

順便說一句，有人知道為什么它會給出CMD中顯示的錯誤？

謝謝

Answer 1

嘗試以字節模式打開文件。 所以更換

f = open(args["model"], "w")

與

f = open(args["model"], "wb")

Answer 2

您需要以字節而不是文本的形式來讀取和讀取泡菜：

# Reading
with open(args['model'], 'b') as f:
    model = cPickle.load(f)

...

# Writing
with open(args['model'], 'wb') as f:
    cPickle.dump(model, f, 2)