FCOS | Fully Convolutional One-Stage Object Detection | Computer Vision library

Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.417
Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.604
Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.454
Average Preci  

  - XXX: {}
  - ...
  - BatchRandomResize: {...} # Remove it if not needed, and place it in front of Permute if necessary
  - Permute: {} # flush privileges
  - NormalizeBox: {} # If necessary, it is recommended to precede Gt2XXXTarget
  - PadBatch:   

  - XXX: {}
  - ...
  - BatchRandomResize: {...} # 如果不需要，可以移除，如果需要，放置在Permute之前
  - Permute: {} # 必须项
  - NormalizeBox: {} # 如果需要，建议放在Gt2XXXTarget之前
  - PadBatch: {...} # 如果不需要可移除，如果需要，建议放置在Permute之后
  - Gt2XXXTarget: {...} # 建议与PadBatch放置在最后的位置

cla  

from math import sin, cos, pi, sqrt, radians

def find_hforce(F, theta):
    if isinstance(F,float) and isinstance(theta,float):
        Fhorizontal = float(F*cos(theta))
        equationFhorizontal = 'Fcos('+str(theta)+')'
    else: