for batch processing of images, i changed BATCH_SIZE = 9 and const size_t size = width height sizeof(float3) BATCH_SIZE and filled the unifrom_data accordingly (uniform_data[volImg + line_offset + j] = ... where volImg changes according to batch index). I also changed first dim: 9 in .prototxt. To obtain detections i used indexing like output[ (batch_idx100 + k) * 7 + 1 ]. There is only person (class 3) in my frames. For batch_id = 0 i got correct results (one person). But for other bathces detection data is like 1, 0.80123, 0.257755, 0.764545, 0.86875, 0.909765 # 2, 7.80123, 0.364645, 0.26875, 0.809765, 0.654343.
hi Ghustwb,
for batch processing of images, i changed BATCH_SIZE = 9 and const size_t size = width height sizeof(float3) BATCH_SIZE and filled the unifrom_data accordingly (uniform_data[volImg + line_offset + j] = ... where volImg changes according to batch index). I also changed first dim: 9 in .prototxt. To obtain detections i used indexing like output[ (batch_idx100 + k) * 7 + 1 ]. There is only person (class 3) in my frames. For batch_id = 0 i got correct results (one person). But for other bathces detection data is like 1, 0.80123, 0.257755, 0.764545, 0.86875, 0.909765 # 2, 7.80123, 0.364645, 0.26875, 0.809765, 0.654343.
what i am doing wrong, can you help me? thanks!