import sys
import cv2
import numpy as np
import ncnn
from ncnn.model_zoo import get_model
from ncnn.utils import draw_detection_objects
use_gpu = False
if ncnn.build_with_gpu():
use_gpu = True
if __name__ == "__main__":
if len(sys.argv) != 2:
print("Usage: %s [imagepath]\n" % (sys.argv[0]))
sys.exit(0)
imagepath = sys.argv[1]
m = cv2.imread(imagepath)
if m is None:
print("cv2.imread %s failed\n" % (imagepath))
sys.exit(0)
if use_gpu:
ncnn.create_gpu_instance()
net = get_model('mobilenet_ssd', num_threads=4, use_gpu=use_gpu)
objects = net(m)
if use_gpu:
loop_count = 4
num_threads = ncnn.get_cpu_count()
powersave = 0
gpu_device = 0
argc = len(sys.argv)
if argc >= 2:
loop_count = int(sys.argv[1])
if argc >= 3:
num_threads = int(sys.argv[2])
if argc >= 4:
powersave = int(sys.argv[3])
if argc >= 5:
gpu_device = int(sys.argv[4])
if ncnn.build_with_gpu() == False:
print(
'ncnn is not build with gpu(NCNN_VULKAN), please rebuild with gpu')
sys.exit(0)
g_loop_count = loop_count
g_blob_pool_allocator.set_size_compare_ratio(0.0)
g_workspace_pool_allocator.set_size_compare_ratio(0.5)
g_warmup_loop_count = 10
g_vkdev = ncnn.get_gpu_device(gpu_device)
g_blob_vkallocator = ncnn.VkBlobBufferAllocator(g_vkdev)
g_staging_vkallocator = ncnn.VkStagingBufferAllocator(g_vkdev)