giuliogamba
commented
5 years ago Have you installed by using sudo pip3 install git+https://github.com/Xilinx/QNN-MO-PYNQ.git?
That command will also install a version of darknet, and compile the darknet python library (under /opt/darknet/python/) which is used in the example notebook.
The lib is instantiated in the darknet.py file
Hello,
I try tiny-yolo-image-loop.ipynb, then it has the problem as shown below
import sys import os, platform import json import numpy as np import cv2 from ctypes import c_char_p # i add import from matplotlib import pyplot as plt from PIL import Image from datetime import datetime from qnn import TinierYolo from qnn import utils sys.path.append("/opt/darknet/python/") from darknet import * from tests.test_qnn import test_tinier_yolo # i add import
%matplotlib inline import IPython
Instantiate a Classifier
conv0_weights = np.load('/home/xilinx/jupyter_notebooks/QNN-MO-PYNQ/qnn/params/tinier-yolo-conv0-W.npy', encoding="latin1") conv0_weights_correct = np.transpose(conv0_weights, axes=(3, 2, 1, 0)) conv8_weights = np.load('/home/xilinx/jupyter_notebooks/QNN-MO-PYNQ/qnn/params/tinier-yolo-conv8-W.npy', encoding="latin1") conv8_weights_correct = np.transpose(conv8_weights, axes=(3, 2, 1, 0)) conv0_bias = np.load('/home/xilinx/jupyter_notebooks/QNN-MO-PYNQ/qnn/params/tinier-yolo-conv0-bias.npy', encoding="latin1") conv0_bias_broadcast = np.broadcast_to(conv0_bias[:,np.newaxis], (net['conv1']['input'][0],net['conv1']['input'][1]net['conv1']['input'][1])) conv8_bias = np.load('/home/xilinx/jupyter_notebooks/QNN-MO-PYNQ/qnn/params/tinier-yolo-conv8-bias.npy', encoding="latin1") conv8_bias_broadcast = np.broadcast_to(conv8_bias[:,np.newaxis], (125,1313))
cfg = c_char_p("/home/xilinx/jupyter_notebooks/QNN-MO-PYNQ/qnn/params/tinier-yolo-bwn-3bit-relu-nomaxpool.cfg".encode())
net_darknet = lib.parse_network_cfg(file_name_cfg)
NameError Traceback (most recent call last)