performance difference between jetson nano and PC

• face_recognition version: 1.2.3(both)
• Python version: 3.5.2
• Operating System: windows10 and ubuntu

Description

When I ran my test code on Windows, the test images worked perfectly. After I ported the code to jetson nano（ubuntu）, face_recognition could not recognize the picture at all.
当我在windows下测试人脸识别的时候，代码很完美的识别人脸，但是将代码移植到jetson nano（ubuntu）后，完全不能识别。

What I Did

My code:
`# Optional - the bounding boxes of each face if you already know them.
known_image1 = face_recognition.load_image_file("images/lv/微信图片_20190603103821.jpg")
known_image2 = face_recognition.load_image_file("images/lv/424.jpg")
known_image3 = face_recognition.load_image_file("images/lv/微信图片_20190603150416.jpg")
unknown_image = face_recognition.load_image_file("test_image/微信图片_20190603195500.jpg")

up_samples = 2
boxes1 = face_recognition.face_locations(known_image1)
boxes2 = face_recognition.face_locations(known_image2)
boxes3 = face_recognition.face_locations(known_image3)
un_boxes = face_recognition.face_locations(unknown_image)

print('start encoding')
known_image_en1 = face_recognition.face_encodings(known_image1, boxes1)[0]
known_image_en2 = face_recognition.face_encodings(known_image2, boxes2)[0]
known_image_en3 = face_recognition.face_encodings(known_image3, boxes3)[0]
unknown_image_en = face_recognition.face_encodings(unknown_image, un_boxes)[0]

know_faces = [
known_image_en1,
known_image_en2,
known_image_en3
]
face_distances = face_recognition.face_distance(know_faces, unknown_image_en)

result = face_recognition.compare_faces(know_faces, unknown_image_en)
print(result)`

The result is [True, True, True]. But in Jetson nano, I got [False, False, False]. I didn't change images

Start by reproducing the reported difference on Windows and the Jetson Nano using the supplied calls to face_locations, face_encodings, face_distance, and compare_faces. Compare the relevant environment and dependency details, then document a confirmed cause or a minimal reproducible report showing what must change for matching results across platforms.