dhm2013724/xilinx_fpga_hls-mapping-neural-network-to-hardware

At present, just an example to show how to map the detection algorithm YOLOv2 from model to FPGA

xilinx_fpga_hls-mapping-neural-network-to-hardware's Issues

是不是我darknet版本的问题，layer l中无法找到成员numload,你能告诉我如何解决这个问题吗

是不是我darknet版本的问题，layer l中无法找到成员numload,你能告诉我如何解决这个问题吗

some errors happened when I used the weights.bin and bias.bin in jupter notebook

hello~
when I applied the files(weights.bin and bias.bin) to the jupyter notebook, it appeared an error:
could not broadcast input array from shape (50941792) into shape (25470896). Then I changed the shape (25470896) into shape (50941792), but it appeared another error:Failed to allocate Memory!
Can you help me?
The codes I changed are as follows:

weight_base_buffer = xlnk.cma_array(shape=(25470896,), dtype=np.uint32)

weight_base_buffer = xlnk.cma_array(shape=(50941792,), dtype=np.uint32)
print("100M",weight_base_buffer.physical_address)
WEIGHT_BASE = weight_base_buffer.physical_address

bate_base_buffer = xlnk.cma_array(shape=(5381,), dtype=np.uint32)
print("32k",bate_base_buffer.physical_address)
BETA_BASE=bate_base_buffer.physical_address

img_base_buffer = xlnk.cma_array(shape=(4194304,), dtype=np.int32)
print("16M",img_base_buffer.physical_address)
IMG_MEM = img_base_buffer.physical_address
params_wight = np.fromfile("weights.bin", dtype=np.uint32)
np.copyto(weight_base_buffer, params_wight)
print("yolov2_weight copy ok\n")

params_bais = np.fromfile("bias.bin", dtype=np.uint32)
np.copyto(bate_base_buffer, params_bais)
print("yolov2_bais copy ok\n")