add ramdisk, load AI model to ramdisk and start recognition from it

rewrite zmq to DEALER and ROUTER
add GET_USER command to get CurrentUser from Python
all auth is on the python side
inference run and validate annotations on python
This commit is contained in:
Alex Bezdieniezhnykh
2025-01-29 17:45:26 +02:00
parent 82b3b526a7
commit 62623b7123
55 changed files with 945 additions and 895 deletions
+25 -3
View File
@@ -1,13 +1,35 @@
import msgpack
cdef class Detection:
def __init__(self, double x, double y, double w, double h, int cls):
def __init__(self, double x, double y, double w, double h, int cls, double confidence):
self.x = x
self.y = y
self.w = w
self.h = h
self.cls = cls
self.confidence = confidence
def __str__(self):
return f'{self.cls}: {self.x:.2f} {self.y:.2f} {self.w:.2f} {self.h:.2f}, prob: {(self.confidence*100):.1f}%'
cdef class Annotation:
def __init__(self, bytes image_bytes, float time, list[Detection] detections):
def __init__(self, bytes image_bytes, long time, list[Detection] detections):
self.image = image_bytes
self.time = time
self.detections = detections
self.detections = detections if detections is not None else []
cdef bytes serialize(self):
return msgpack.packb({
"i": self.image, # "i" = image
"t": self.time, # "t" = time
"d": [ # "d" = detections
{
"x": det.x,
"y": det.y,
"w": det.w,
"h": det.h,
"c": det.cls,
"p": det.confidence
} for det in self.detections
]
})